Yuval Mehta

I’m a Generative AI Engineer focused on agentic systems, LLM infrastructure, and production AI platforms—especially where reliability and regulated compliance matter. I build end-to-end solutions that connect distributed systems, ML pipelines, and real deployment workflows.

At xLM - Continuous Intelligence, I owned the architecture and delivery of cEMS (Environmental Monitoring System) from scratch. I also redesigned the cTM (Temperature Mapping System) infrastructure to cut costs by 5x through pipeline redesign, scalability improvements, and performance optimization.

I’ve delivered production-grade capabilities like an audit trail system that captures actor actions and contextual metadata, enabling reusable GxP-compliant traceability across products. I also designed LangGraph multi-agent systems for cIV (Intelligent Validation Platform), improving execution time by 30%, task success rate by 40%, and workflow coverage by 65%.

Earlier, I built a traceability matrix generator that reduced manual overhead by 60% and increased workflow consistency by 45%, and I prototyped AI-driven document intelligence solutions to cut validation cycle time by 50%. I’ve also worked on ML research like a video feature extraction pipeline (autoencoders + graph neural networks) that improved frame processing efficiency by 30%.