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sumeetmehra-dev/README.md

Hey there ๐Ÿ‘‹ I'm Sumeet Mehra

Software Engineer @ C-DAC | Building scalable microservices & AI-powered systems


๐Ÿš€ About Me

  • ๐ŸŽ“ B.Tech in Computer Science from IIIT Delhi (Minor in Entrepreneurship)
  • ๐Ÿ’ผ Currently building 7-microservice healthcare based e-governance platform at C-DAC for 10K+ concurrent users
  • ๐Ÿค– Architected AI-powered RAG chatbot using Llama 3.1, PostgreSQL pgvector, and LangChain4j
  • โšก Optimized API performance by 45% through profiling, query optimization, and Redis caching
  • ๐Ÿ“ซ Reach me: sumeetmehra2004@gmail.com | LinkedIn

๐Ÿ› ๏ธ Tech Stack

Languages

Java Python JavaScript TypeScript C++ SQL

Backend & Frameworks

Spring Boot Node.js Microservices REST API

Databases

PostgreSQL Redis MongoDB MySQL

DevOps & Tools

Docker Git Kafka AWS Maven

Frontend

React Redux HTML5 CSS3

AI/ML

LangChain LLMs Vector DB

Testing

JUnit JMeter MockMvc


๐Ÿ’ผ What I'm Working On

  • ๐Ÿ—๏ธ Microservices Architecture at C-DAC: Auth, Authorization, Admin, AI Chatbot, API Gateway, Config Server, Service Discovery
  • ๐Ÿค– RAG Chatbot: End-to-end document ingestion pipeline processing 100+ PDFs into semantic embeddings
  • โšก Performance Optimization: PostgreSQL query tuning, Redis caching (80% hit rate), JProfiler profiling
  • ๐Ÿ” Security: JWT authentication, Redis session management, BCrypt encryption, OWASP XSS prevention
  • ๐Ÿ“Š Event-Driven Architecture: Kafka with 3 partitioned topics, 2 consumer groups, 100K+ events
  • โœ… High Test Coverage: 85% coverage using JUnit, MockMvc, TestContainers

๐Ÿ“ˆ GitHub Stats

GitHub Stats Top Languages
GitHub Streak

๐ŸŽฏ Currently Learning

  • โ˜๏ธ AWS Solutions Architect certification
  • โš›๏ธ Next.js & modern frontend development
  • ๐Ÿ—๏ธ Advanced system design patterns
  • ๐Ÿค Open source contribution workflows

๐ŸŒŸ Highlights

const sumeet = {
    role: "Software Engineer @ C-DAC",
    education: "IIIT Delhi (B.Tech CS)",
    location: "India",

    currentFocus: [
        "Microservices Architecture",
        "AI/RAG Systems",
        "Performance Optimization"
    ],

    techStack: {
        backend: ["Spring Boot", "Node.js", "Microservices"],
        databases: ["PostgreSQL", "Redis", "MongoDB"],
        ai: ["LangChain4j", "Llama 3.1", "RAG", "pgvector"],
        devops: ["Docker", "Kafka", "AWS", "CI/CD"],
        testing: ["JUnit", "JMeter", "TestContainers"]
    },

    achievements: [
        "45% API performance improvement (800ms โ†’ 440ms)",
        "80% Redis cache hit rate on 50K+ records",
        "85% test coverage with comprehensive testing suite",
        "100K+ Kafka events processed with zero data loss"
    ],
    
};

๐Ÿ“Š Experience Overview

๐Ÿข C-DAC (Centre for Development of Advanced Computing)

Software Developer | Jul 2025 - Present

  • Architected 7-microservice e-governance platform for 10K+ concurrent users
  • Built AI-powered RAG chatbot with <3s response latency using Llama 3.1 & PostgreSQL pgvector
  • Optimized performance by 45% through profiling, query optimization, and caching
  • Implemented event-driven architecture with Kafka processing 100K+ events
  • Achieved 85% test coverage with JUnit, MockMvc, TestContainers

๐Ÿ›๏ธ NITI Aayog (Government of India)

Intern, Economic Modelling Vertical | May 2023 - Jul 2023

  • Developed full-stack data platform (Django + React) with 20+ Plotly visualizations
  • Automated economic indicator processing, eliminating 30+ hours weekly
  • Built web scraping system with 95% success rate across government portals

๐Ÿ† Notable Projects

๐Ÿค– AI-Powered RAG Chatbot (C-DAC)

Tech: Spring Boot, LangChain4j, Llama 3.1, PostgreSQL pgvector, Redis

  • End-to-end document ingestion pipeline processing 100+ PDF guidelines
  • Semantic embeddings with context-aware filtering & multi-tenant data isolation
  • <3s response latency with intelligent caching strategies
  • Production deployment for government research platform

๐Ÿ“Š Real-Time Economic Dashboard (NITI Aayog)

Tech: Django, React, Plotly, Selenium, PostgreSQL

  • Full-stack analytics platform processing 15+ economic indicators
  • Automated ETL pipelines with 99.2% uptime
  • 20+ interactive visualizations for policy analysis
  • Reduced manual data processing by 30+ hours/week

๐ŸŽฎ Tank Stars Game Clone (Academic)

Tech: Java, LibGDX, JUnit

  • Multiplayer game with OOP design patterns (Factory, Singleton, Observer)
  • Collision detection algorithms & state persistence
  • Comprehensive JUnit test suite with 85% code coverage

๐Ÿ“ซ Let's Connect

LinkedIn Email Portfolio


๐Ÿ’ก Open to collaboration on microservices, AI/ML, and distributed systems projects!

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