I design and build production-grade AI systems and distributed architectures used in real-world environments.
My work sits at the intersection of:
- π§ AI/LLMs (Agents, RAG, MCP, NLP systems)
- βοΈ Microservices & Event-Driven Architecture
- π³ Docker, Kubernetes & Cloud-Native Systems
I focus on systems that scale, not just code that runs.
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π§ AI Developer Copilot β Context-aware code generation using LLMs + MCP
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βοΈ Production-Ready Microservices Boilerplate β Node.js + Python + Kafka + Docker + Kubernetes
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π¬ Scalable Real-Time Chat System β WebSockets + Redis + horizontal scaling
Languages: Python, JavaScript, TypeScript
Backend: FastAPI, Node.js, Express
AI Stack: LLMs, RAG, AI Agents, LangChain, MCP
Data: MongoDB, Redis, Vector DBs
DevOps: Docker, Kubernetes, CI/CD, Nginx
Architecture: Microservices, Event-driven systems, System Design
- High-scale APIs (handling millions of requests)
- Distributed AI systems (LLM pipelines, RAG infra)
- Real-time communication systems
- Fault-tolerant & observable microservices
- Containerizing production systems using Docker
- Designing scalable services for Kubernetes
- Building reproducible dev environments
- Promoting Docker-first development workflows
Actively working towards Docker Captain & CNCF ecosystem contributions
π AI Developer Copilot (LLM + MCP)
βοΈ Microservices Boilerplate (Kafka + Docker + K8s)
π¬ Scalable Chat System (WebSockets + Redis)
- Writing deep-dive engineering content (no fluff)
- Sharing real-world system design insights
- Contributing to Docker & Cloud-Native ecosystem
- Portfolio
βοΈ Building scalable systems. Sharing real engineering. Contributing to the future of AI + Cloud.
