I design and build production-grade AI systems that solve real business problems.
My work focuses on LLM-based applications, AI-driven automation, and scalable backend architecture.
I specialize in taking ideas from prototype to deployment, with a strong emphasis on reliability, cost-efficiency, and maintainability.
- LLM application design (RAG, agents, evaluation pipelines)
- AI-powered automation and workflow systems
- End-to-end AI product development
- Backend architecture for AI services
- MLOps, monitoring, and deployment
AI / ML
- OpenAI APIs, Hugging Face, LangChain, LlamaIndex
Backend
- Python, Node.js, FastAPI
Data
- PostgreSQL, Vector databases (FAISS, Pinecone-like architectures)
Infrastructure
- AWS, Docker, CI/CD
- Clear problem definition before model choice
- Data quality over model hype
- Measurable evaluation, not subjective demos
- Systems that are maintainable by teams, not individuals
- Honest estimates and realistic trade-offs
Pinned repositories on this profile demonstrate:
- Production-ready LLM applications
- RAG systems with retrieval evaluation
- AI automation pipelines
- Scalable backend architectures for AI services
Each repository includes a clear README, system design notes, and practical implementation details.
Open to:
- AI consulting
- Freelance / contract projects
- Long-term technical partnerships
I value clear communication, transparent scope, and systems that can survive real-world use.
If you're interested in collaboration or discussion, feel free to reach out via GitHub.