Project Portfolio

1. SmartOps – Enterprise Data Warehouse Testing
Role: Senior QA Tester | Duration: Feb 2024 – Present
Tech Stack: Power BI, Cognos, Azure Data Warehouse, SQL, Selenium, UFT, Jenkins,
JIRA
● Defined and executed functional, regression, and E2E testing plans for BI and
ETL pipelines.
● Validated Power BI dashboards and Cognos reports with SQL-based data checks.
● Designed UFT automation scripts for data validation workflows and report
verification.
● Created reusable test datasets and maintained QA documentation for audit trails.
● Participated in release readiness reviews and coordinated test reporting with onsite
teams.

2. E-Procure – Vendor Workflow QA Automation
Role: QA Automation Engineer | Duration: May 2023 – Jan 2024
Tech Stack: Selenium, Provar, Azure SQL, Power BI, Jenkins, JIRA
● Built automation test suites covering vendor and procurement workflows.
● Automated ETL/BI validation tests integrated with Jenkins pipelines.
● Wrote complex SQL scripts for financial data integrity validation.
● Enhanced regression suite efficiency using Provar and Selenium hybrid
framework.
● Delivered detailed QA sign-off reports ensuring defect-free releases.

3. FinEdge – Financial Data Warehouse QA
Role: QA Tester | Duration: Jul 2022 – Apr 2023
Tech Stack: Azure Data Factory, SQL Server, Selenium, Python, Cognos
● Tested data extraction, transformation, and load (ETL) pipelines for financial
systems.

● Designed SQL-based validation queries for multi-source data consistency checks.
● Automated data validation and report testing using Selenium + Python.
● Conducted regression cycles post major deployments to ensure BI accuracy.
● Logged and tracked defects in JIRA, maintaining closure metrics.

4. DataBridge – Migration & BI Validation
Role: QA Engineer | Duration: Oct 2021 – Jun 2022
Tech Stack: Azure SQL, Power BI, UFT, Jenkins, JMeter
● Conducted E2E testing of data migration from legacy warehouses to Azure Cloud.
● Ensured report consistency and dashboard accuracy in Power BI.
● Built UFT regression automation to cover critical workflows.
● Performed load testing using JMeter to validate concurrent BI user sessions.
● Documented and version-controlled test evidence and execution logs.

5. AppTrack – QA Automation Framework Setup
Role: QA Automation Developer | Duration: Feb 2021 – Sep 2021
Tech Stack: Selenium, Java, TestNG, Jenkins, MySQL
● Developed a hybrid automation framework integrating Selenium + TestNG.
● Automated UI and API regression testing integrated with CI/CD pipelines.
● Designed test data generators to simulate multiple user scenarios.
● Reduced manual testing effort by 40% through automation reuse.
● Managed execution schedules and reporting dashboards in Jenkins.

6. DataConnect – ERP Quality Assurance
Role: Junior QA Tester | Duration: Jun 2020 – Jan 2021

Tech Stack: SQL Server, Selenium, HP ALM, Excel Macros
● Performed functional and integration testing for ERP (Finance & HR) modules.
● Wrote SQL validations for transactional and audit tables.
● Managed defects in HP ALM, ensuring RCA documentation.
● Contributed to test case creation and regression planning.
● Ensured QA compliance and helped standardize test documentation.

Skill Set

• Automation
• CI/CD
• Java
• PowerBI
• QA
• Selenium
• Sql

Project Portfolio

Project A :
Senior Automation Test Engineer
 Catalyst for all the Automation Development, Execution and Planning.
 Worked on ERP – Dynamics365 and CPQ application to create lead, converting to
opportunities
 Writing Python Automation Scripts for Web, Unix, API based applications.
 Worked on Order-to-Cash (O2C) flows in ERP
 Writing SQL queries to validate the functional flows
 Creating Standalone Tools and utilities to leverage manual testing efforts.
 Automation Test Execution handling using Robot Framework and finding early defects
using Test management Tool and defect tracking using Octane.
 Enhancing Existing Framework components for smooth and optimized execution results
 Developing project related tools using ASP.Net, VBA Macro and Shell scripting.
 Training and Guiding new joiners, freshers as well as laterals.
 Playing a key role in team in finding and implementing the logic while writing the
automation scripts.
 Visited Guadalajara, Mexico for critical automation development on production Environment.
Project B :
British
Telecom, UK
Automation Test Engineer
 Development of Shell Scripts for processing data and checking the interconnectivity of the
systems involved in UNIX environment for Rating process.
 Worked on payments module with finance aspects to create costs and process them
 Automation of Test cases using UFT for Window based PowerBuilder application (CSM).
 Involvement in execution of web and API test cases using Robot Framework.
 Involvement in enhancement of project related tools developed using VBA Macros.
 Experience in development of scripts using UFT in Power builder application.
 Execution of test cases and analyzed the test results.
 Proper requirement gathering from functional team and understanding the business

perspective.

Project C :
Sprint Telecom,
USA
Functional Test Engineer
 Understanding & Analyzing the business requirement, writing the High-Level Test cases for
those requirements.
 Deliberately involved in Execution (test cases and reporting) Defect tracking as part of
manual team.
 Contributed deeply to create test suite for Sanity and regression as part of automation team.
 Converting mistake to lesson learned points at the end of each iteration and finding the
resolution of those points & Discuss those point to take Corrective Measures Based on the
Action Plan in next iteration.
 Making the daily track wise status report comprises of test case execution status, blocking
defects to the top management.
 Handling Defect discussion calls & requirement review calls
 Handling Production Defects (Triage and retest)
 Preparing Documents related to Rainy day scenarios identified wherever possible.

Achievements
 Visited Sao Paulo, Brazil for Training Ginger (in house Automation tool) to Amdocs
Employees.
 Visited London, UK for closing automation scope and planning for new project with British
Telecom.
 Employee of Quarter awarded for Best Employee in Testing Unit
 Rising star award for outstanding performance in Automation Training and Development
 Avishkar Award received from Regional head in contributing best idea for process
improvement.

Skill Set

• CPQ
• QA

Project Portfolio

PROJECT EXPERIENCE
Project AirPay
Description The project focused on developing and maintaining APIs for Airpay Vyaapaar, a
product facilitating financial services such as domestic money transfers, cash
withdrawal systems, recharge services, and BBPS (Bharat Bill Payment System)
payments. The platform demanded robust, secure, and scalable backend
solutions to ensure seamless transaction processing and integration.

Designation Backend Developer
Responsibilities As a Backend Developer, I designed and developed APIs for Airpay Vyaapaar,
enabling features like domestic money transfers, cash withdrawal systems, mobile
recharges, and BBPS payments. I utilized Node.js, Express.js, and GraphQL to
build scalable microservices, integrated MySQL for efficient data management,
and leveraged AWS CloudWatch for monitoring and logging. Containerized
backend services using Docker to enable consistent development and production
environments. Applied DDD concepts such as services and repositories to
organize backend logic and enhance maintainability.Engineered secure APIs for
financial services and DMT flows.
Actively contributed to migrating backend services from MySQL to PostgreSQL.
Tech Stack Node.js, Express.js, GraphQL, Microservices Architecture, MySQL, AWS

CloudWatch, Sequelize

Team Size 16

Duration 3 Months

Project VISTAAR FINANCE
Description The project involved developing Vistaar NBFC website and integrated that

with multiple platforms like LMS, Admin Panel, Job Portal etc.

Designation Full Stack Developer
Responsibilities Developed and maintained scalable user interfaces using Next.js,
TypeScript, and Tailwind CSS. Optimized application performance by
implementing server- side rendering (SSR) and static site generation
(SSG). Integrated APIs efficiently with React Query and handled state
management using Redux.
Collaborated closely with backend teams to ensure seamless data flow and
improved API performance. Conducted thorough code reviews and followed
best practices for maintainability and scalability.

Tech Stack Nextjs, Typescript,

Team Size 4

Duration 4 Months

Project NPCI
Description The project involved developing and maintaining key websites for the National
Payments Corporation of India (NPCI), including UPI, RuPay, BHIM, and
BharatQR. These platforms require high security, performance, and user
accessibility
Designation Full Stack Developer
Responsibilities As a Full Stack Developer, I built and maintained high-performance websites for
NPCI, including UPI, RuPay, BHIM, and BharatQR. Using React.js, Node.js,
Express.js, and MongoDB, I developed secure, scalable applications, optimized
performance, and ensured seamless API integration. I also implemented
authentication, conducted code reviews, and collaborated with teams to maintain
best practices.
Automated build and deployment tasks using GitHub Actions as part of the CI/CD
pipeline.
Developed secure, high-performance web apps including UPI, BHIM, and RuPay
portals.
Implemented RESTful APIs with Node.js & Express.js, handling authentication and
performance tuning.
Designed and optimized PostgreSQL queries for real-time data access.

Tech Stack Html, CSS, React.js, Node.js, Express.js, Postgres
Team Size 8

Duration 8 Months

Project Tata Motors
Description This project focused on developing and enhancing the Tata Motors website
hosted on Adobe Experience Manager (AEM). The platform serves as a digital
gateway for showcasing Tata Motors' vehicle portfolio and engaging customers
through an interactive and user-friendly interface.

Designation Front End Developer
Responsibilities Developed interactive web components using React.js and
JavaScript. Optimized website performance, improving page
load times.
Coordinated with design teams to implement pixel-perfect UI/UX.

Tech Stack React.js, Tailwind css, UI / Ux Development
Team Size 6

Duration 8 Months

Project Tata Tele Business
Description This project involved revamping the Tata Tele Business website and
creating a custom Outlook extension to help the sales team streamline data
analysis and tracking. The website serves as a key platform for Tata Tele
Business services, targeting enterprise customers.

Designation Full Stack Developer
Responsibilities Designed and maintained website architecture using PERN
stack. Created APIs and integrated them with front-end
components.
Developed the Outlook extension using React.js and Node.js.
Ensured website optimization for faster performance and better scalability.
Built APIs and backend logic using Node.js and Express.
Developed PostgreSQL database schema and queries for custom CRM solutions.
Worked on full-stack delivery using the PERN stack.
Tech Stack Html, CSS, Js, React.js, Node.js, Express, Postgres, Strapi
Team Size 8
Duration 8 Months

Project Canara HSBC Life
Description The project aimed to develop and optimize the Canara HSBC Life Insurance
website, a platform that provides users with comprehensive insurance solutions
and an intuitive interface for managing policies and claims.

Designation Full Stack Developer
Responsibilities Conducted performance audits and implemented optimizations.
Collaborated with stakeholders to gather and implement feedback.
Debugged and resolved cross-browser compatibility issues. As a Full
Stack Developer, I optimized and maintained the Canara HSBC Life
Insurance website, ensuring a seamless user experience for policy
management and claims. I conducted performance audits, implemented
optimizations, and resolved cross-browser compatibility issues.
Collaborating with stakeholders, I gathered feedback to enhance
functionality and usability using React.js, Node.js, Express.js, HTML,
CSS, and JavaScript.
Optimized backend services for better policy data handling using Node.js.
Used PostgreSQL for efficient storage, search, and retrieval of insurance-related
data.

Tech Stack Html, CSS, Js, React.js, Node.js, Express.js
Team Size 6
Duration 6 months

Project Polycab

Description This project involved developing and maintaining Polycab's corporate website,
which caters to diverse industrial and retail stakeholders by showcasing their
range of cables, wires, and other products.

Designation Front End developer

Responsibilities Built and optimized reusable UI components.

Enhanced site performance through efficient coding practices.
Collaborated with cross-functional teams to deliver features on
time. Performed testing to ensure high-quality deliverables.

Tech Stack Html, CSS, Js, React.js,
Team Size 12 Members.
Duration 1.2 year

Project GoodYear LMS (Lead Management System)
Description The project focused on migrating Goodyear’s Lead Management System
(LMS) from .NET to the MERN stack. The LMS facilitates efficient lead
tracking and management, improving scalability and operational
efficiency for sales teams.
Designation Full Stack Developer
Responsibilities Developed RESTful APIs and integrated them with front-end
applications. Refactored existing codebase to align with modern
practices.
Conducted unit testing to ensure reliability.
Worked on data visualization tools for better lead management insights.
Developed RESTful APIs for lead tracking modules; structured for easy future
PostgreSQL transition.

Tech Stack Html, CSS, Js, React.js, Node.js, Express, MongoDb, Strapi
Team Size 8
Duration 6 months

Project Kotak General Insurance Mobile Application
Description This project involved modernizing the Kotak General Insurance mobile
application using React Native. The app serves as a one-stop solution for
users to manage policies, make claims, and access insurance services,
providing a seamless user experience post partnership with Zurich.

Designation Full Stack Developer

Responsibilities Designed and implemented mobile-first UI components.
Integrated backend services with the application using
Node.js. Debugged and resolved app crashes to improve
stability.
Collaborated with QA teams for rigorous testing and validation.

Tech Stack React Native, Node.js, Express.js

Team Size 4
Duration 4 months

Skill Set

• Express
• HTML,CSS
• Mongodb
• Nodejs
• QA
• Reactjs

Project Portfolio

PROJECT Asset Panda "Asset Management System"
DURATION 12+ Months
PROJECT
SYNOPSIS

● Comprehensive Talent Engagement
● Built responsive user interfaces using React.js for
asset management workflows
● Developed reusable UI components for consistency
and faster development
● Integrated front-end features with backend APIs for
real- time asset tracking
● Optimized performance and collaborated with teams
to deliver scalable solutions

RESPONSIBILITIES ● Develop and implement user interfaces using ReactJS

● Design and build reusable components
● Integrate front-end features with back-end systems
● Collaborate with cross-functional teams to ensure
a seamless user experience
● Write clean, maintainable, and efficient code
● Optimize application performance and scalability
● Participate in code reviews and contribute to
the development of best practices

TEAM SIZE 25+
PROJECT STATS Asset Panda is an asset management system that allows
businesses to track and manage their assets, equipment, and
inventory. As a React developer, my responsibilities include
developing and implementing user interfaces, designing and
building reusable components, and integrating front-end features
with back-end systems.

MAIN CHALLENGES ● Ensuring seamless integration of front-end features
with complex backend APIs for real-time asset
tracking.
● Optimizing application performance while handling
large datasets of assets and inventory.

TOOLS AND
TECHNOLOGIES

React.js, Redux, TypeScript, HTML5, CSS3, RESTful APIs,
GraphQL, OAuth, JWT, Git, GitLab, Jira, AWS, Docker,
Kubernetes, Jest, Mocha, Postman.

PROJECT Scoutr "Recruiting and Staffing App"
DURATION 8 Months
PROJECT
SYNOPSIS

● Built and maintained user interface in React.js for
job seekers and employers.
● Implemented new features to enhance job search
and application process.
● Integrated front-end with backend APIs for real-
time listings and notifications.
● Collaborated with backend team to deliver scalable
and secure workflows.

RESPONSIBILITIES ● Develop and maintain the user interface using ReactJS.
● Design and implement new features to enhance

user experience.
● Collaborate with back-end developers to ensure
seamless integration.
● Write clean, maintainable, and efficient code.
● Optimize application performance and scalability.
● Participate in code reviews and contribute to
the development of best practices.

TEAM SIZE 4
PROJECT STATS Scoutr is a recruiting and staffing app that connects job seekers
with potential employers. As a React developer, my
responsibilities include developing and maintaining the user
interface, designing and implementing new features, and
collaborating with back-end developers to ensure seamless
integration.

MAIN CHALLENGES ● Handling real-time updates for job listings and
notifications without performance issues.
● Ensuring smooth and secure integration between front-
end and backend services.

TOOLS AND
TECHNOLOGIES

Next.js, React.js, Redux, TypeScript, HTML5, CSS3, RESTful
APIs, GraphQL, OAuth, JWT, Git, GitHub, Jira, AWS, Docker,
Kubernetes, Jest, Cypress, Postman

Skill Set

• Aws
• Kubernetes
• Nextjs
• Reactjs
• redux
• Typescript

Project Portfolio

Project Name Xana Metaverse
Description Xana Metaverse is a leisure app which provides users
to experience any environment virtually and perform
activities such as chatting, virtual meeting, sending gifts
etc.

Roles & Responsibilities 1. Handled server side app requirements like

API creation & maintenance
2. Handled sockets maintenance for efficient
chatting experience
3. DB integration, DB architecture and
maintenance for efficient data management

Team Size 4
Technical Stack used NodeJS, Postgres
Duration 1 year

Project Name

Vanira live streaming platform

Description: Vanira live streaming platform enables users to perform live
streaming of their choice and have multiple audience on the
same. It also allows users to perform online activities like
commenting on live streams, send gifts to other users etc.
Responsibilities: 1. Handled server side app requirements like API

creation & maintenance
2. Handled sockets maintenance for efficient real time
activities
3. DB integration, DB architecture and maintenance
for efficient data management

Team Size 5
Technical Stack NodeJS, Postgres
Duration 3 months

Project Name Avatarchat Service

Description Avatarchat is a platform integrated chatting service
application which allowed users to perform real time
communication via chatting. It also has an admin panel
to handle user queries, train chat bot, support query
ticket management etc.

Responsibilities 1. Handled server side app requirements like
API creation & maintenance for both users &
admin panel
2. Handled sockets maintenance for efficient real
time chatting experience and user support
3. DB integration, DB architecture and
maintenance for efficient data management

Team Size 5
Technical Stack NestJS, Postgres
Duration 6 months

Project Name

Challenge App

Description: Challenge App provides users to post different kind of
challenges related to data analytics, data science etc
Responsibilities: 1. Handled client side app requirements like UI, web
pages creation & maintenance, app navigations,
client side data management etc
2. Handled server side app requirements like API
creation & maintenance, integration of various python
(spawned) services for data analytics
3. DB integration, DB architecture and maintenance
for efficient data management

Team Size 2
Technical Stack NestJS, Postgres, Angular
Duration 3 months

Canvas Print

Project Name
Description: Canvas Print platform allows users to customize a variety of
products like apparels, posters, bottles, mugs etc. and later
posting these customized products for sale on shopify.
Responsibilities: 1. Handled client side app requirements like UI, web
pages creation & maintenance, app navigations,
client side data management etc
2. Handled server side app requirements like API
creation & maintenance, integration of 3 rd party
services like stripe payment gateway
3. DB integration, DB architecture and maintenance
for efficient data management

Team Size 5
Technical Stack ReactJS, NodeJS, MySQL
Duration 6 months

Project Name

Guaranteed Investment Certificates App

Description: Guaranteed Investment Certificates App allowed users to
view various banks & financial institues dealing in financial
investments. Users can view and compares investment
policy details and purchase them from the same platform.
Responsibilities: 1. Handled client side app requirements like UI, web
pages creation & maintenance, app navigations,
client side data management etc
2. Handled server side app requirements like API
creation & maintenance, integration of 3 rd party
services like stripe payment gateway
3. DB integration, DB architecture and maintenance
for efficient data management
4. Handled web data scrapping for latest updates
related to investment policies, returns calculations
etc.
Team Size 3
Technical Stack ReactJS, NodeJS, MySQL
Duration 1 year

Project Name

Xana NFT (Xanalia) Trading

Description: Xana NFT (Xanalia) Trading enables users to view & create
NFTs and also allows them to trade NFTs worldwide via the
platform.

Responsibilities: 1. Handled client side app requirements like UI, web
pages creation & maintenance, app navigations,
client side data management etc
2. Handled server side app requirements like API
creation & maintenance, integration of 3 rd party
services like blockchain contracts, wallets etc.
3. DB integration, DB architecture and maintenance
for efficient data management

Team Size 6
Technical Stack NextJS, NestJS, MySQL, Postgres
Duration 1 year

Project Name

Run For Money Game

Description: Run For Money game was a leisure time app that allows
users to play games while staying connected with other
users virtually all in integrated metaverse environment
Responsibilities: 1. Handled server side app requirements like API

creation & maintenance
2. DB integration, DB architecture and maintenance
for efficient data management

Team Size 5
Technical Stack NodeJS, Postgres
Duration 1 year

Skill Set

• Mysql
• Nextjs
• Nodejs
• Reactjs

Project Portfolio

CONFIDENTIAL
Jul 2024 – Present

• Engineered an AI-powered parent–school matchmaking assistant using LangChain, FAISS, Azure
OpenAI, automating ~60% of queries and reducing response time by 65%.
• Developed website & AI Chatbot for student FAQs (LangChain + OpenAI API) → enabled instant
responses on courses, fees, and admissions, improving parent engagement by 30%.
• Performed EDA & feature engineering on parent–school interaction data → identified key drivers
of school selection for data-driven insights.
• Applied MLOps best practices (MLflow, Docker, Kubernetes, CI/CD) for scalable AI/ML
deployments.
• Collaborated with business stakeholders to translate requirements into scalable, real-time AI
solutions.
Key Projects:
• RAG Q&A Chatbot (EdTech): AWS Bedrock + LangChain + FAISS → improved response
efficiency by 70%.
• OCR Invoice Automation (Finance): Python + EasyOCR → reduced manual entry by 80%.
• Customer Churn Prediction (Telecom): Fine-tuned BERT → achieved 85% accuracy, reducing
churn by 18%.
• Automatic Number Plate Recognition (Smart City): YOLOv5 + OCR pipeline → real-time
detection and structured logging.
System Engineer – Infosys Ltd.
Pune | Feb 2020– Jul 2024
Responsibilities:
• Developed automation solutions using Python & AssistEdge to optimize workflows.
• Built and maintained OCR pipelines for unstructured data (PDF, Excel, Web).
• Supported AI/ML PoCs in OCR and NLP with cloud deployments on AWS & Azure.
• Partnered with business teams to integrate automation into core operations.
Key Achievements:
• Automated PDF/Excel/Web workflows, saving 200+ hours per month and reducing manual effort
by 30%.
• Improved OCR extraction accuracy by 20%, reducing downstream errors.
• Supported NLP automation PoCs, enabling faster AI adoption within enterprise workflows.
• Delivered measurable efficiency improvements for back-office operations.

Intern – CodeRize IT Solutions LLP
Pune | Dec 2020 – Jun 2021

• Assisted in building automation scripts for client processes, reducing data entry time by 15%.
• Gained exposure to OCR and RPA workflows using Python.

Skill Set

• Aws
• Azure
• CI/CD
• Docker
• Kubenretes
• Python

Project Portfolio

Senior Data Engineer | Data Engineering & Fabrication (Client) | Remote
Project Name: In Mark Retail Analytics & AI Platform
Technologies Used: PostgreSQL, MySQL, Python (FastAPI, BeautifulSoup4),
SQLAlchemy, AWS RDS, S3, Lambda, Databricks, JWT, LangChain, pgBackRest
Description: Designed and implemented a retail analytics and AI recommendation platform
handling multi-terabyte datasets. Integrated a web scraping module using BeautifulSoup4 to
extract competitor pricing and inventory data, processed it, and stored the cleaned data in
AWS S3 for downstream analytics. Delivered real-time FastAPI microservices for
transactional operations and AI-driven recommendation workflows.
Responsibilities:
 Designed optimized PostgreSQL and MySQL queries, stored procedures, and
indexing strategies for analytical performance.
 Built asynchronous REST APIs using FastAPI and SQLAlchemy ORM for inventory
and customer insights.
 Developed web scraping jobs using BeautifulSoup4 to extract pricing and product
data from multiple retail websites
 Transformed scraped data into structured JSON and uploaded securely to AWS S3
using boto3
 Deployed scraping scripts via AWS Lambda for cost-efficient, scheduled execution.
 Leveraged LangChain-based LLM workflows to recommend personalized products
based on customer behavior
 Applied indexing, GIN indexes, and query tuning using EXPLAIN ANALYZE to
improve performance by 70%.
 Implemented row-level locking and isolation levels for ACID compliance.
 Developed LangChain-powered LLM workflows for AI-driven insights.
 Configured pgBackRest for backup automation and deployed AWS RDS read replicas
for fault tolerance and scalability..

Senior AI/Data Engineer using LLM and Rag Pipelines
Project Name: SmartLearn AI-Powered Learning Platform (MVP)
Role: AI Developer (FastAPI, LLMs, Vector Search)
Duration: 2022 - present
Technologies: Python, FastAPI, Pinecone, FAISS, Redis, PostgreSQL, Playwright,
Firecrawl, Claude/GPT/Gemini LLMs, Prometheus, Grafana, OpenTelemetry, Docker,
Kubernetes
Project Description:
Developed and maintained a scalable, real-time AI-driven learning platform to deliver
personalized lessons, tutor responses, and auto-grading feedback for globally distributed
learners. Implemented cutting-edge backend architecture, retrieval-augmented generation
(RAG) pipelines, semantic search, and vector database systems.

Key Responsibilities & Achievements:
 Architected and maintained FastAPI-based backend services to support real-time
lesson flows and AI tutor interactions.
 Designed low-latency APIs for real-time lesson delivery, tutor responses, and auto-
grading feedback.
 Implemented RAG pipelines with ingestion (web scraping via Playwright &
Firecrawl) and semantic retrieval (Pinecone, FAISS).
 Managed file ingestion workflows for PDFs, OCR, and web content, including
preprocessing and chunking pipelines.
 Implemented caching and memory persistence using Redis, Postgres extensions,
and hybrid vector DB storage.
 Designed secure, multi-tenant architecture to handle text, code, image, and voice
inputs globally.
 Built and optimized semantic search infrastructure for personalized lesson retrieval
with high speed and accuracy.
 Scaled vector database and caching systems for high throughput and low latency.
 Supported graph-based querying for evolving learner knowledge graphs.
 Managed LLM prompt orchestration pipelines, caching, failover, and evaluation
harnesses.
 Deployed and monitored production-grade LLM endpoints (Claude, GPT, Gemini,
Bedrock) with observability (Prometheus, Grafana, OpenTelemetry).
 Ensured global scalability with autoscaling, load balancing, and failover-ready
infrastructure.
 Collaborated with frontend and AI teams to integrate APIs, agent outputs, and
sandbox grading flows.
 Implemented real-time streaming APIs for AI tutor chat, voice interactions, and
sandbox grading.
 Leveraged AI coding copilots (Claude Code, Codex, Cursor) to improve
development velocity and testing.
 Achieved key latency, scaling, and security compliance targets in collaboration
with AI Lead.

Senior AI/Data Engineer | July 2022- Present
Project Name: AI-Powered Knowledge Assistant | Python, LLMs, RAG, AWS
Technologies Used:
 Programming & Frameworks: Python, FastAPI, TypeScript
 AI & ML: LangChain, OpenAI GPT, Sentence Transformers, RAG Pipelines
 Databases: Pinecone (Vector DB), PostgreSQL
 Cloud & DevOps: AWS (EC2, S3), Docker
 Tools: Git, VS Code, Postman, JIRA

Responsibilities: Python & AI Developer
 Designed and developed an end-to-end AI-powered knowledge assistant that
answers natural language questions using company-specific documents.
 Implemented RAG (Retrieval-Augmented Generation) pipeline using Python and
LangChain for accurate, context-aware responses.
 Generated text embeddings with Sentence Transformers and stored them in Pinecone
vector database for fast semantic search.
 Integrated OpenAI GPT models to provide intelligent, natural language answers.
 Built and exposed RESTful APIs using FastAPI for backend services to support
document upload and AI query handling.
 Developed a React + TypeScript frontend for chatbot-style user interaction.
 Deployed the solution on AWS (EC2, S3) with Docker for scalable and secure cloud
infrastructure.
 Collaborated with ML and product teams to optimize retrieval accuracy, latency, and
user experience.
 Implemented unit testing, logging, and documentation to make the system production-
ready.
 Achieved 90%+ answer relevance accuracy and reduced response latency by 45%
through caching and optimized search.

Senior Data Engineer | July 2022- Present
Project Name: FitStream IoT Analytics & Predictive Maintenance Platform
Technologies Used:PySpark, Delta Lake, Azure Data Factory, Databricks, Power BI
Description: Designed IoT analytics platform for predictive maintenance and anomaly
detection in industrial operations.
Responsibilities:
 Built Medallion architecture pipelines using Delta Lake for structured and
unstructured data.
 Designed PySpark jobs for anomaly detection and feature engineering.
 Integrated ML and LLM-based predictive models for maintenance alerts.
 Delivered Power BI dashboards for real-time performance insights.

Data Engineer | Spyguard Services | Nov 2019- July 2022
Project Name: In-Store Pickup (ISPU) Commerce Platform
Technologies Used:PostgreSQL, Python (FastAPI, BeautifulSoup4), SQLAlchemy, AWS RDS, S3
Description:Built an e-commerce backend with optimized PostgreSQL schema and high-
performance asynchronous APIs. Also developed a data scraping module using
BeautifulSoup4 to extract product and price data from competitor websites for pricing
intelligence, storing the results securely in AWS S3.
Responsibilities:

 Designed normalized PostgreSQL schema and implemented indexing and triggers for
optimal query performance.
 Developed RESTful async APIs using FastAPI and SQLAlchemy ORM for cart,
pickup, and order management.
 Built a Python-based web scraping utility using BeautifulSoup4 to extract competitor
pricing and availability data; transformed and uploaded structured results to AWS S3
using boto3
 Scheduled scraping jobs via cron and later migrated to AWS Lambda for serverless
execution
 Configured pgBackRest for regular backups and integrated AWS RDS read replicas
for improved availability.
Data Engineer Trainee | Spyguard Services | Nov 2019- July 2022
 Supported data warehouse implementations and assisted in building ETL processes on
Azure platforms.

Skill Set

• Aws
• Azure
• Fast API
• PowerBI
• Python
• Typescript

Project Portfolio

PROFESSIONAL EXPERIENCE
Consultant – AI/ML Engineer
PROJECT A | Pune, India | Oct 2021 – Present
 Designed and implemented enterprise-scale Generative AI and NLP solutions using Azure OpenAI and
LangChain for document automation and knowledge retrieval.
 Led a small AI engineering team, mentoring members on LLM fine-tuning, prompt optimization, and model
deployment best practices.
 Built and deployed RAG systems (LangChain, LangGraph, Pinecone) achieving 85% retrieval accuracy and
reducing manual search time by 70%.
 Managed production AI workflows, handling live performance monitoring, scaling, and issue resolution using
Azure Monitor and Prometheus.
 Collaborated with clients to define project goals, deliver technical presentations, and align AI solutions with
business objectives.
 Automated CI/CD pipelines for LLM deployment with Azure DevOps, enabling faster model iteration and A/B
testing.
 Ensured data compliance with secure AI governance frameworks (RBAC, audit logging).
Senior System Engineer – ML & Data Engineering
PROJECT B | Pune, India | Mar 2019 – Oct 2021
 Developed machine learning pipelines on Azure for classification, text analytics, and NLP-based data
intelligence.
 Engineered distributed training infrastructure using Databricks and PyTorch/TensorFlow for large-scale
datasets.

 Integrated Azure DevOps CI/CD to automate ML workflows and reduce deployment cycles by 40%.
 Partnered with clients and data teams to ensure successful AI delivery and performance SLAs.
Service Engineer – Automation
PROJECT C | Mumbai, India | Feb 2017 – Nov 2017
• Developed and maintained automation alert systems leveraging IoT sensors for real-time event detection and
response.
• Collaborated with cross-functional teams to integrate sensor data pipelines into centralized monitoring
dashboards, improving incident response accuracy and system reliability

Skill Set

• Azure
• CI/CD
• DevOps
• Python
• PyTorch

Project Portfolio

Projects

MontyCloud | Senior Data & ML Engineer
Tech Stack: Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SQL, NoSQL (MongoDB), AWS
(S3, EC2, Lambda, Glue, SNS, SQS, CloudWatch), Databricks, Treasure Data (CDP), dbt, Digdag,
Airflow, Tableau, Metabase, Docker
Role & Contributions:
● Designed and implemented end-to-end ML pipelines, covering data ingestion, preprocessing,
feature engineering, model training, and evaluation.
● Built scalable ETL and data pipelines using Airflow, Digdag, dbt, and AWS services to ensure
high-quality, reproducible datasets.
● Deployed ML models as serverless endpoints via AWS Lambda and API Gateway for
production-grade predictions.
● Developed real-time, event-driven data streaming solutions using SQS/SNS to support
continuous ML model updates.
● Automated data validation, quality checks, and lineage tracking to maintain pipeline
reliability.
● Created interactive dashboards and visualizations using Tableau, Metabase, Matplotlib, and
Seaborn to communicate insights.
● Collaborated with cross-functional teams to translate business requirements into technical ML
and data solutions.
● Conducted model evaluation, experimentation, and hyperparameter tuning to optimize
predictive performance.

Makaan | Senior Data & ML Engineer
Tech Stack: Python, Pandas, NumPy, Scikit-learn, Flask, PostgreSQL, Treasure Data (CDP), Airflow,
Redis, Celery, Docker, Shell Scripts, REST APIs, Tableau, Metabase
Role & Contributions:
● Designed and implemented predictive ML models to forecast property prices and investment
returns, improving data-driven decision-making.

● Developed fraud detection workflows using anomaly detection and transaction pattern
analysis, deployed via Flask APIs and Celery for background processing.

● Built scalable ETL pipelines with Airflow to process property, user, and financial datasets from
Treasure Data (CDP) and external APIs.

● Engineered PostgreSQL data models optimized for analytics, reporting, and ML model
training.

● Integrated Redis caching and Celery task queues for asynchronous model inference and
efficient background execution.

● Containerized ML and ETL components using Docker to ensure reproducibility and environment
isolation.

● Automated data ingestion and model retraining workflows using Shell scripts to maintain
up-to-date prediction accuracy.

● Collaborated with stakeholders to translate business objectives into actionable insights and
model performance reports.

Betrics.io | Data & ML Engineer
Tech Stack: Python, PySpark, Pandas, Scikit-learn, Django, PostgreSQL, AWS (S3, SNS, SQS), Celery,
Redis, Docker, Digdag, Airflow, Tableau, Metabase
Role & Contributions:

● Developed end-to-end ML pipelines using PySpark and Scikit-learn for real-time odds
prediction and outcome probability modeling.
● Built and optimized Django REST APIs to serve model predictions and manage transactional
data.
● Implemented AWS data lake architecture with S3 for storage and SQS/SNS for asynchronous
event-driven workflows and model retraining triggers.
● Deployed Celery + Redis task queues for parallel model inference, background processing,
and real-time notifications.
● Orchestrated Digdag and Airflow workflows for automated ETL, model evaluation, and
retraining cycles.
● Conducted feature engineering and data preprocessing on historical datasets to improve
predictive performance.
● Containerized ML and data services with Docker, ensuring consistent development, training,
and deployment environments.
● Maintained ML code quality and pipeline reliability through continuous integration checks.

Dashible | Data & ML Engineer (NLP Focus)
Tech Stack: Python, Pandas, NumPy, PyTorch, Sentence Transformers, FastAPI, MongoDB, Treasure
Data (CDP), Digdag, Airflow, Elasticsearch, AWS Lambda, Zappa, Shell Scripts, CI/CD (Bitbucket),
Tableau, Metabase
Role & Contributions:
● Developed NLP pipelines using Sentence Transformers to generate embeddings for semantic
search and retrieval.
● Built FastAPI microservices to handle user queries, retrieval, and AI-powered response
generation with low latency.
● Designed MongoDB data models for embeddings, metadata, and query logs to support
scalable semantic storage.
● Integrated Elasticsearch with vector search for similarity-based document retrieval and ranking
optimization.
● Automated data scraping, cleaning, and embedding refresh workflows using Airflow and
Digdag orchestration.
● Deployed models and APIs via serverless architecture (Zappa + AWS Lambda) for scalable,
cost-efficient inference.

● Implemented CI/CD pipelines in Bitbucket for testing, linting, and deployment of ML models
and services.
● Collaborated with the data science team to tune embedding models, improving semantic
retrieval accuracy.

Linework | Data & ML Engineer (MLOps Focus)
Tech Stack: Python, PySpark, Pandas, NumPy, Scikit-learn, AWS (Glue, Lambda, CloudWatch, S3),
Treasure Data (CDP), Docker, Kubernetes, Apache Airflow, GraphQL, MySQL, GitLab CI/CD, Tableau,
Metabase
Role & Contributions:
● Designed and deployed ML pipelines using AWS Glue and PySpark to analyze user behavior
and predict engagement.
● Developed recommendation models using collaborative filtering and user-item embeddings
for personalized content and product suggestions.
● Built GraphQL APIs integrated with model inference endpoints to deliver real-time
recommendations to applications.
● Implemented Airflow DAGs for automated ETL and ML retraining workflows using Treasure
Data and AWS S3 as feature stores.
● Containerized ML microservices with Docker and orchestrated deployments using Kubernetes
for production scalability.
● Applied data drift and anomaly detection with AWS CloudWatch and Lambda-triggered alerts
to maintain model accuracy.
● Collaborated with product teams to map KPIs into ML metrics and establish continuous
feedback loops.
● Managed CI/CD pipelines in GitLab for model versioning, testing, and automated deployment.

Skill Set

• Aws
• CI/CD
• Docker
• ETL
• Graphql
• Kubernetes
• Mysql
• Python
• PyTorch

Project Portfolio

HEALTH CARE MANAGEMENT SYSTEM

Role: - Data Engineer
Description: - Built a healthcare data hub for insurance policies by implementing Medallion Architecture
(Bronze → Silver → Gold). The platform ingested raw data from multiple sources into curated data
layers, ensuring data quality and enabling downstream analytics, dashboards, and compliance reporting.

ROLES AND RESPONSIBILITIES

• Developed Silver and Gold layer pipelines on Databricks applying business logic, standardization, and
validations.
• Built Delta Tables with data quality checks (PK/FK constraints, null checks, deduplication) to ensure
reliable curated data.
• Partnered with business stakeholders to validate metrics and align reporting definitions.
• Ingested raw data from APIs, RDBMS (Oracle, SQL Server), and flat files into Bronze layer (S3 + Delta).
• Orchestrated ETL workflows using Airflow & Databricks Workflows.
• Implemented Unity Catalog metadata tagging and lineage tracking for governance.
• Performed data modeling using Kimball methodology (facts/dimensions) for BI/Analytics.
• Collaborated with analysts to support dashboards and regulatory reports.
Key Technologies: Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Airflow, AWS (S3, Redshift, Glue), GitHub,
Jenkins.

Project 2
CAPITAL DATA SERVICE

Role: - Data Engineer
Description: - I worked on a project called Capital Data services in the finance domain. CDC is a
comprehensive data architecture that involves data ingestion, transformation, business computations,
and reporting. The project focuses on ingesting data from various sources, performing specific
transformations, and storing it in Hadoop structures like Hive. This enables the business team to
analyze financial transactions, assess risks, ensure compliance, and make data-driven decisions.
ROLES AND RESPONSIBILITIES

• Involved in import data from various RDBMS into HDFS using JDBC & ODBC drivers.
• Perform Validations on Imported Data, and merge it with Existing Data.
• Designed both Managed and External Hive Tables and Defined static and dynamic partition
to optimize performance.
• I Worked with various File Formats like Text File, Sequence File, ORC Files, Avro Files. Written
Hive Queries to analyze data for our business need.
• Write Hive DDL to Create Hive Table for Optimize Query Performance.
• Create Spark jobs for data cleaning, processing.
Key technologies: Apache Hadoop, Hive, Apache Spark, JDBC/ODBC, HDFS, Sequence
Files, HiveQL, Data Partitioning, ETL Frameworks.

Skill Set

• Aws
• Data Engineer
• Spark