Zhongkai F is a Principal AI Engineer based in Redmond with 13+ years applying NLP and production ML to real-world problems across Microsoft and Zoom, spanning machine translation, medical transcript summarization, reasoning, and agent workflow automation. He blends deep research (multi-NMT, reinforcement learning fine-tuning, synthetic data and environment simulation) with hands-on systems work—training and deployment pipelines, HPC/GPU scheduling, and production backend services. At Microsoft he led efforts improving M365 Copilot and automated medical note quality, often combining provenance, omission detection, and human-in-the-loop feedback to close the gap between models and clinical needs. Known for shipping scalable solutions across distributed platforms, he also brings extensive experience with Microsoft tooling and rigorous software practices (automated and unit testing). A pragmatic engineer who moves models from research into robust, versioned production releases, he pairs language expertise with operations-first thinking.
13 years of coding experience
16 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Beijing University of Technology
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