I’m an AI/ML Engineer with 4+ years of experience building production-focused machine learning and generative AI systems for retrieval and conversational experiences. I use Python, PySpark, and XGBoost to turn behavioral data into better ranking and recommendation quality, and I extend that foundation into grounded RAG and agentic workflows.
Most recently, I built retrieval pipelines and agent tool-calling experiences using LangChain and LangGraph, with vector search via pgvector, and deployed services using FastAPI on Kubernetes (GKE). I focus heavily on evaluation, reliability, and latency—measuring grounding and retrieval quality, reducing unsupported responses, and optimizing runtime performance so applications stay accurate and dependable in real production workloads.
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