Generative AI & Agents
I build production systems with LangChain, LangGraph, and modern LLM tooling: multi-agent workflows, RAG pipelines, and agentic apps that ship.
Multi-Agent Systems
Orchestrate agents with LangGraph: state machines, tool use, and handoffs (Slack bots, internal automation, conversational platforms).
RAG & Retrieval
Design RAG pipelines with vector stores, reranking, and research-backed tricks (HANRAG, KERAG). From prototype to robust retrieval.
Agent Frameworks
LangChain, LangGraph, Llama Index. Chaining prompts, tools, and memory; debugging and deploying agent flows in production.
LLM Integration
Cost-aware routing, latency optimization, and multi-model setups. FastAPI backends, streaming, and MLOps around generative APIs.
Selected Work
Featured projects from industry and open-source: multi-agent systems, RAG, computer vision, and production ML.
Open-Source & Research
Contributions to speech recognition, API tooling, and RAG research. Implementations include HANRAG, KERAG, and LLM routing libraries.