Gong Kai is a data engineer with 8 years of experience building scalable, production-ready ML and backend systems using Python, JavaScript, Java and SQL. He combines frontend React experience with backend expertise in Django and FastAPI, and has architected AWS-based media workflows that cut costs and latency for video apps. At UC’s Institute for Prediction Technology he applied regression, survival analysis, NLP and image recognition to public-health problems, turning social and behavioral data into real‑time insights and risk forecasts. He has hands-on ML engineering experience—tuning CNNs and YOLO models, building data pipelines with Pandas, and deploying model-backed APIs for recommendation and inference. Trained in statistics (University of Chicago MS) and CS (University of Washington BS), he brings a data-first engineering mindset and a track record of translating models into user-facing services.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.7, Bachelor of Science - BS, Computer Science, 3.7 at University of Washington
Master of Science - MS, Statistics, male, Master of Science - MS, Statistics, male at University of Chicago
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