Software Engineer focused on backend systems, AI-driven applications, and decision engines.
I build systems that don’t just return results — they make decisions under real-world constraints.
- Design and ship backend systems that are reliable and production-ready
- Build AI-integrated products where LLMs support—not replace—core system logic
- Develop decision engines combining deterministic rules with real-time data
- Work on performance, observability, and failure handling from day one
- Prefer simple, deterministic systems before adding ML complexity
- Treat AI as a component, not the system itself
- Optimize for clarity, reliability, and maintainability
- Design with edge cases and failure modes in mind
Python • FastAPI • Node.js • JavaScript • PostgreSQL • MongoDB • React • Supabase • Docker
AI/ML: OpenAI APIs, NLP, RAG pipelines
- RewardWise — Decision engine for optimizing points vs cash using real-time pricing + reward data
- Reflections — Full-stack application with role-based access and scalable backend architecture
- Reinforcement Learning Study — Comparative evaluation of RL algorithms
- Blockchain-assisted Cassandra — Data verification using Merkle trees
