resume profile picture
Professional Summary

Senior Python Developer with 5+ years of experience delivering production-grade backend and AI systems. Expert in FastAPI, asynchronous architectures, cloud-native deployments, and RAG-based LLM integrations. Strong ownership across system design, performance optimization, reliability, and CI/​CD-driven delivery.

Work Experience

LTIMindtree

Senior Software Engineer
02/2026 – Present | Pune, India

Distek Innovations Pvt Ltd.

Senior Software Associate
02/2024 – 11/2025 | Chandigarh
  • •Architected and owned a FastAPI-based backend supporting 18,000 MAU with sub-900ms response times.
  • •Designed and productionized a RAG pipeline integrating GPT-4 and LLaMA with RedisVL.
  • •Improved retrieval relevance by 35% and reduced LLM inference costs by 28%.
  • •Built CI/​CD pipelines and Dockerized deployments on Azure, reducing release time by 75%
  • •Developed Python and Flask APIs serving 3,000+ daily active users.
  • •Optimized SQL queries and caching layers, improving API performance by 25%.
  • •Built Azure-based data integration pipelines reducing manual processing by 60%.
    • 06/2022 – 11/2022 | Noida
  • •Monitored critical systems and IT assets, ensured 99.9% uptime, led a team that implemented a new ticketing system, cut resolution time by 30%, and developed maintenance measures that reduced system failures by 15% in four months at Tata 1mg.

    • Team Computers

    Support Engineer
    01/2022 – 05/2022 | Chandigarh
  • •Resolved user-reported technical issues with a first-contact resolution rate near 85%, reducing average ticket turnaround time.
  • •Executed system diagnostics and configuration tasks across enterprise devices, cutting recurring incident volume by an estimated 30%.
  • •Coordinated with cross-functional teams to close service requests and escalations, maintaining SLA compliance near 95%.
    • 07/2020 – 10/2021 | Chandigarh
  • •Successfully executed a network security upgrade, enhancing protection against cyber threats and reducing security incidents by 40%.
  • •Implemented network monitoring tools, improving network performance and reducing downtime by 20%.
    • Projects

    AI Conversational Platform (RAG-based Chatbot)

    Tech Stack: Python, FastAPI, RedisVL, Cosmos DB, PostgreSQL, LLaMA, GPT-4, Stable Diffusion, Docker Compose, Azure
  • •Developed an AI-powered conversational chatbot using Retrieval-Augmented Generation (RAG) for contextual and dynamic responses.
  • •Integrated vector databases (Pinecone, Qdrant, RedisVL, Cosmos DB) for fast similarity searches and PostgreSQL for structured queries.
  • •Leveraged LLaMA and GPT-4 for natural language interactions and Stable Diffusion for text-to-image outputs.
  • •Implemented personalized features like wellness tips, recommendations, and quizzes.
  • •Used Cosmos DB to persist conversation context and Azure Blob Storage for log management.
  • •Containerized the platform with Docker Compose and deployed to Azure using a CI/​CD pipeline.

    • Smart Parking System

    Tech Stack: Python, OpenCV, FastAPI, PostgreSQL, AWS
  • •Designed an automated parking system with License Plate Recognition (LPR) using OpenCV.
  • •Tracked vehicle entry and exit times for billing calculations.
  • •Integrated with multiple payment providers for seamless transactions.
  • •Deployed the solution on AWS for scalability.

    • Personalized Content Recommendation System

    Tech Stack: Python, Ollama, LLaMA, Web Scraping, PostgreSQL, FastAPI
  • •Developed a recommendation system that suggests podcasts, blogs, and videos based on user preferences.
  • •Implemented web scraping to gather relevant blog articles and podcast metadata, storing them in a PostgreSQL database.
  • •Leveraged the LLaMA model via Ollama for natural language processing and content analysis.
  • •Generated personalized recommendations by analyzing user interaction data and content relevance.

    • Stack Overflow Developer Survey

    Using Matplotlib and Seaborn

    Conducted data analysis on the Stack Overflow dataset using Python libraries. Explored insights through the stages of data pre-processing and exploratory Data Analysis (EDA), and visualized the data.

    Skills
    Languages — Python, JavaScript
    Frameworks — FastAPI, Flask, Django
    APIs — RESTful APIs, AsyncIO, Authentication, Authorization
    Databases — PostgreSQL, MySQL, MS SQL, Redis, Cosmos DB
    Vector DBs — Pinecone, Qdrant, RedisVL, Chroma
    DevOps — Docker, Docker Compose, CI/CD, Azure DevOps, GitHub Actions
    Systems — Linux, Nginx, Microservices, High Availability
    AI / ML — RAG, LLMs, LangChain, Prompt Engineering, Vector Search, n8n, Agentic AI(Azure AI Foundry), Fine Tuning
    Cloud — Azure Services | Cosmos DB, Blob Storage, App Services, Virtual Machines, CI/CD (Azure DevOps Pipelines) Docker & Docker Compose on Azure | AWS Services | Lambda, DynamoDB, EC2, S3, API Gateway
    Frontend — HTML, CSS, React
    Education

    12th Non-Medical

    Government Model Senior Secondary School
    2014 – 2016

    CBSE

    Secondary Education

    Government Model High School,CBSE
    2004 – 2014

    CBSE

    Bachelor of Engineering (ECE)

    Chandigarh University
    Certificates
    SQL Intermediate

    By Hackkerank.com

    CCNA (R&S)

    6 Week CCNA Program

    Python

    By Hackkerank.com

    Python Basic

    By Spoken Tutorial Project, IIT Bombay.

    Problem-Solving

    HackerRank (Intermediate)

    Languages
    English
    Hindi
    Punjabi