I build scalable backend systems, AI-powered applications, and cloud-native platforms that solve real-world engineering challenges.
I’m a Full Stack Software Engineer with 3+ years of experience designing and building production-grade distributed systems, cloud-native applications, and GenAI platforms.
My work spans high-throughput background processing, event-driven architectures, document intelligence systems, LLM-powered workflows, and scalable backend infrastructure. I enjoy solving engineering challenges around performance, scalability, reliability, and system design, building software that remains maintainable as it grows.
- ⚙️ Designing distributed backend architectures
- 🤖 Building production-ready GenAI applications
- 📄 Large-scale document intelligence systems
- ⚡ High-throughput asynchronous processing
- ☁️ Cloud-native infrastructure & microservices
- 📚 Writing engineering case studies & technical articles
AI-powered enterprise assistant combining Agentic RAG, ontology-aware retrieval, semantic search, and document intelligence to provide accurate, grounded answers across large document repositories.
Highlights
- Agentic RAG
- Ontology-based Retrieval
- Enterprise Search
- Semantic Retrieval
- Streaming Responses
- Cloud-native Deployment
A scalable real-time auction platform supporting authentication, payments, live bidding, notifications, and event-driven workflows.
Highlights
- Full Stack Architecture
- Real-time Communication
- Payment Integration
- REST APIs
- Authentication
- Performance Optimization
Production-inspired engineering deep dives covering distributed systems, GenAI infrastructure, high-throughput pipelines, scalability, and production engineering.
- 📄 Distributed Document Processing
- ⚙️ High-Throughput Job Pipeline
- 📥 Distributed Bulk Import
- 📧 IMAP Connection Pooling
- 📬 Email Placement Detection
- 📈 Production Performance Optimization
👉 Read the complete Engineering Case Studies
📚 Engineering Case Studies:
https://app.notion.com/p/Engineering-Case-Studies-38ace7c77f3d80508b3cc03fe5317631
- Why AI Agents Fail Without Ontologies
- Operating GenAI Systems in Production
- Production Engineering Lessons from Building AI Systems
👉 Read on Medium
Kafka • BullMQ • Microservices • REST APIs • System Design • Distributed Systems • Event-Driven Architecture • GenAI • Agentic RAG • Ontologies • Vector Search
- Design for Scale
- Reliability First
- Simplicity over Complexity
- Measure Before Optimizing
- Build Maintainable Systems
- Production-First Engineering
⭐ If you find my work interesting, feel free to connect or explore my projects and engineering articles.