Over the past three years I’ve worked on RAG-based LLM systems, semantic search pipelines, and computer vision services for KYC and content moderation. Most of my work revolves around taking models from prototype to reliable production systems — optimizing retrieval, reducing hallucinations, improving latency, and making AI services actually usable in real-world environments.

I enjoy working on system design challenges around context memory, vector search, caching strategies, and scalable inference APIs. Currently exploring more advanced agent orchestration and multi-agent workflows.