I build scalable backend systems, AI-powered applications, and cloud-native platforms that solve real-world engineering challenges.
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⚡ Built production-grade distributed systems processing millions of background jobs daily across event-driven microservices serving 10K+ production users.
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☁️ Designed scalable backend infrastructure that expanded system capacity from ~1.5K → 10K+ concurrent persistent connections without downtime.
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🤖 Delivered enterprise GenAI platforms combining Document Intelligence, Agentic RAG, Semantic Retrieval, and AI Agents, reducing manual review effort by 80% for 20+ organizations.
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🚀 Increased application responsiveness from 7.8 → 9.5+ Apdex through database optimization, caching strategies, and request workflow improvements.
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📈 Scaled distributed processing pipelines from 5K → 100K+ records per execution using streaming ingestion and horizontally scalable worker architectures.
📚 Engineering Case Studies
➡️ https://app.notion.com/p/Engineering-Case-Studies-38ace7c77f3d80508b3cc03fe5317631
I'm a Full Stack Software Engineer with 3+ years of experience building production-scale backend systems, cloud-native platforms, and enterprise GenAI applications.
My work focuses on designing reliable distributed systems—from high-throughput background processing and event-driven microservices to AI-powered document intelligence platforms and semantic retrieval systems.
I enjoy solving engineering challenges around:
- Distributed Systems
- Backend Architecture
- Production Engineering
- Cloud Infrastructure
- Event-Driven Microservices
- GenAI & Agentic Workflows
- Performance Optimization
- Scalability & System Design
I believe great software is simple, observable, reliable, and built to scale.
- ⚙️ Designing distributed backend architectures
- 🤖 Building production-ready GenAI applications
- 📄 Large-scale document intelligence systems
- ⚡ High-throughput asynchronous processing
- ☁️ Cloud-native infrastructure & Kubernetes
- 📚 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 enterprise knowledge bases.
- Agentic RAG
- Ontology-based Retrieval
- Semantic Search
- Enterprise Knowledge Graph
- Streaming AI Responses
- Cloud-native Deployment
- Reduced manual document review by 80%
- Adopted across 20+ organizations
- Production-ready AI workflow orchestration
- Enterprise-scale semantic retrieval
A scalable real-time auction platform supporting authentication, live bidding, notifications, payment integration, and event-driven workflows.
- Full Stack Architecture
- Real-time Communication
- Payment Integration
- Authentication
- REST APIs
- Performance Optimization
I regularly document engineering problems, architecture decisions, scalability challenges, and production lessons inspired by real-world systems.
- 📄 Distributed Document Processing
- ⚙️ High-Throughput Job Pipelines
- 📥 Distributed Bulk Import Architecture
- 📧 IMAP Connection Pooling
- 📬 Email Placement Detection
- 📈 Scaling Background Workers
- 🚀 Database Optimization
- ☁️ Kubernetes Deployments
- 🤖 Production GenAI Infrastructure
👉 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
- Designing Reliable Distributed Systems
- Scaling Event-Driven Architectures
📖 Medium
Kafka • BullMQ • Microservices • REST APIs • Distributed Systems • Event-Driven Architecture • System Design • AWS • Docker • Kubernetes • GenAI • Agentic RAG • Ontologies • Vector Search
- Design for Scale
- Reliability First
- Simplicity over Complexity
- Measure Before Optimizing
- Build Maintainable Systems
- Production-First Engineering
- Automate Everything Possible
- Performance is a Feature
- High-scale backend systems
- Distributed processing pipelines
- Event-driven microservices
- Cloud-native infrastructure
- Enterprise AI platforms
- Production GenAI applications
- Performance-critical backend services
- Reliable APIs and developer platforms
⭐ If you're building products that require scalable backend systems, distributed architectures, or enterprise AI solutions, I'd love to connect.