📍 Bengaluru, India | 🌐 Open to Relocation
I'm a backend engineer specializing in distributed systems, microservices architecture, and enterprise-grade LLM integration. With 1+ year of direct experience at high-growth AI startups, I've delivered:
- 60% reduction in mean time to diagnosis through distributed tracing
- 40% latency improvement via strategic database optimization
- 70% code reuse through architectural patterns
- Production-grade infrastructure for AI systems at scale
+ Microservices Architecture+ RAG Pipeline Development+ LLM Multi-Provider Orchestration+ Distributed Tracing & Observability+ Database Performance Optimization+ System Design & Architecture
📅 September 2025 – Present | 🌍 Remote
Key Contributions:
- 🔹 RAG Pipeline Architecture — Built production-grade pipeline with LangChain chunking, OpenAI embeddings, Qdrant vector storage
- 🔹 LLM Orchestration — Engineered provider-agnostic layer supporting OpenAI, Gemini, Mistral AI with seamless failover
- 🔹 Distributed Tracing — Implemented OpenTelemetry + Jaeger, reducing MTTD by 60%
- 🔹 Database Migration — Led MongoDB → PostgreSQL migration with schema optimization
- 🔹 Multi-Agent Systems — Designed agent backend with generic repository pattern, dynamic filtering, RBAC
📅 October 2024 – April 2025 | 📍 Noida
Key Contributions:
- 🔹 Microservices Development — Built Java/Spring Boot services with layered architecture
- 🔹 Security — Implemented JWT + Spring Security with granular RBAC
- 🔹 Performance — Optimized SQL queries achieving 20% improvement on data operations
- 🔹 API Design — Designed RESTful endpoints with proper HTTP semantics
- 🔹 Collaboration — Mastered Git workflows, code review, agile methodologies
Highlights:
| Highlights:
|
Production-grade retrieval augmented generation with semantic search, vector storage, and persistent memory.
Highlights: Intelligent chunking • OpenAI embeddings • Qdrant storage • Zep memory management
| Metric | Achievement | Impact |
|---|---|---|
| ⚡ MTTD | 60% ↓ | OpenTelemetry + Jaeger |
| 🎯 Latency | 40% ↓ | Query optimization |
| 🔄 Code Reuse | 70% ↓ | Repository pattern |
| 🚀 Performance | 20% ↑ | SQL indexing |
| ⏱️ Response Time | <100ms | API optimization |
| 📈 Uptime | 99.9%+ | Production reliability |
| 🎯 Certification | 🏢 Institution | 📅 Year |
|---|---|---|
| Bachelor of Computer Applications (BCA) | IGNOU | 2025 |
| Java with Spring Boot & Microservices | Ducat India | 2025 |
🔹 Advanced Distributed Systems Patterns
🔹 Agentic AI & Orchestration Frameworks 🔹 LLM Production Architecture
🔹 Cloud-Native & Kubernetes
🔹 Security at Scale
Scalability First | Observability Always | Production Ready | Clean Architecture | Continuous Improvement
