Software Engineer @ C-DAC | Building scalable microservices & AI-powered systems
- ๐ B.Tech in Computer Science from IIIT Delhi (Minor in Entrepreneurship)
- ๐ผ Currently building 7-microservice healthcare based e-governance platform at C-DAC for 10K+ concurrent users
- ๐ค Architected AI-powered RAG chatbot using Llama 3.1, PostgreSQL pgvector, and LangChain4j
- โก Optimized API performance by 45% through profiling, query optimization, and Redis caching
- ๐ซ Reach me: sumeetmehra2004@gmail.com | LinkedIn
- ๐๏ธ Microservices Architecture at C-DAC: Auth, Authorization, Admin, AI Chatbot, API Gateway, Config Server, Service Discovery
- ๐ค RAG Chatbot: End-to-end document ingestion pipeline processing 100+ PDFs into semantic embeddings
- โก Performance Optimization: PostgreSQL query tuning, Redis caching (80% hit rate), JProfiler profiling
- ๐ Security: JWT authentication, Redis session management, BCrypt encryption, OWASP XSS prevention
- ๐ Event-Driven Architecture: Kafka with 3 partitioned topics, 2 consumer groups, 100K+ events
- โ High Test Coverage: 85% coverage using JUnit, MockMvc, TestContainers
- โ๏ธ AWS Solutions Architect certification
- โ๏ธ Next.js & modern frontend development
- ๐๏ธ Advanced system design patterns
- ๐ค Open source contribution workflows
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"
],
};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
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
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
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
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
