AI Engineer with 5+ years of experience building production-grade AI systems, specializing in LLMs, RAG pipelines, and agentic / multi-agent architectures.

Currently working on national-scale AI systems serving millions of users, focusing on:

• Agentic systems & tool-calling
• RAG & retrieval pipelines (including structured data)
• Observability, evaluation, and guardrails
• Scalable backend systems (FastAPI, async, microservices)

I enjoy turning AI prototypes into reliable, production-ready systems.

• Agentic & Multi-Agent Systems (LangGraph-based workflows)
• RAG Pipelines (text + structured data like tables)
• LLM Evaluation Systems (LLM-as-judge, regression testing)
• AI Observability & Guardrails (logging, tracing, validation)
• High-performance inference systems (vLLM, batching, caching)
• Scalable APIs (FastAPI, async, microservices)

• Designed multi-agent architecture combining RAG + tool-calling
• Implemented guardrails, evaluation pipelines, and observability
• Optimized for latency, cost, and scalability (sub-2s responses)

• Built autonomous agent for search, ranking, and comparison of listings
• Combined web search, structured extraction, and LLM reasoning
• Designed ranking + filtering logic based on real-world criteria