Most AI candidates only build Jupyter notebooks. I build production-grade, system-level architecture.
With a hardcore foundation in CS core (OS, CN, DBMS) and robust software engineering principles (DSA, OOP, System Design) combined with advanced AI research, I engineer systems that are fast, secure, and ready for deployment.
Production systems I've shipped.
Engineered a sub-100ms latency RAG engine with HNSW indexing and Llama 3.3.
Built a cryptographic NL-to-SQL pipeline with SHA-256 audit chains and firewall routing.
Developed autonomous workflow orchestration and real-time LLM observability.
Specializing in production-grade intelligent systems, hallucination detection, and bias mitigation.
Architecting scalable backend infrastructure with a hardcore foundation in CS core principles.
Building real-time analytics pipelines and secure enterprise NL-to-SQL architecture.
Looking for any of the above? Let's connect.