I build scalable backend systems, event-driven microservices, and AI-powered applications that run in production — not just in notebooks.
🌐 Portfolio • 💼 LinkedIn • 💻 GitHub
Backend Engineer with 3+ years of experience designing and shipping scalable APIs, distributed systems, and cloud-native platforms. Over the last year, I've been pushing that experience into AI — building production RAG pipelines, LLM-powered support systems, and tool-calling agents on top of the same backend fundamentals: reliability, observability, and clean architecture.
I care about systems that hold up under real traffic, not just demos.
- 🤖 AI customer support systems (LLMs + Tool Calling + RAG)
- 🧠 Retrieval-Augmented Generation pipelines
- ⚙️ Scalable backend APIs and microservices
- ☁️ Cloud infrastructure on AWS
- 🔄 Event-driven workflow automation platforms
Languages
JavaScript TypeScript Python
Backend
Node.js NestJS Express FastAPI Django Flask GraphQL
AI / LLM
OpenAI Groq LangChain ChromaDB RAG MCP Tool Calling Vector Databases
Cloud & DevOps
AWS Docker Kubernetes Terraform GitHub Actions
Data
PostgreSQL MongoDB Redis RabbitMQ
🤖 AI Order Chat System
Multi-tenant AI-powered customer support platform.
Groq LLM Tool Calling ChromaDB (RAG) Session Memory Smart Order Cancellation Inventory Search Policy Search
⚖️ ADR Automation Platform
Enterprise-grade dispute resolution platform supporting 25+ services.
Case Management RBAC Billing & Invoicing Zoom Integration QuickBooks Integration Async Processing
📚 HR Policy RAG System
AI assistant that answers HR policy questions via Retrieval-Augmented Generation.
LangChain ChromaDB Semantic Search LLM Integration
- Architected backend systems serving 27,000+ users in production
- Improved API response times by 40% through caching and query optimization
- Built and deployed AI-powered automation platforms end-to-end
- Integrated payment gateways, CRMs, Zoom, QuickBooks, and AI services into production workflows
- Designed cloud-native microservices from architecture through deployment
Advanced AI Agents Model Context Protocol (MCP) Kubernetes Go Java + Spring Boot Distributed Systems Design
⭐ Open to Backend Engineer, AI Engineer, Platform Engineer, and Cloud Engineering roles.
