Pratik Mandlecha is an applied scientist and AI engineer with 8 years of experience building production-grade ML and GenAI systems across Big Tech and FinTech. He specializes in agentic AI, retrieval-augmented workflows, and reliability-focused LLM evaluation, with recent work shipping components into the GS Marquee mobile app and internal Goldman platforms. A Carnegie Mellon MCDS graduate, he blends applied research and production engineering—previously improving Azure’s VM qualification pipeline and leading teams that raised faulty-build recall from 73% to 90%. Pratik’s practical focus is on end-to-end GenAI pipelines that combine RAG, multi-agent orchestration, evaluation, and self-correction to make models trustworthy in real-world decision workflows. Now based in Mountain View, he moves beyond demos to operationalize tool-using LLMs for trader-facing analytics and large-scale search experiences. He’s equally comfortable in cloud-scale telemetry analysis, patentable applied AI, and translating research prototypes into live, user-facing products.
Contributions:4 PRs, 4 pushes, 2 branches in 3 months
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