gong kai
@gongkai
Software Engineer & Machine Learning Engineer focused on production GenAI, secure backends, and scalable data pipelines.
What I'm looking for
I’m a results-driven Software Engineer & Machine Learning Engineer with 2+ years of production experience delivering full-stack development, distributed data engineering, and applied AI/ML systems.
At UCIPT, I partner with healthcare and research teams to build mobile monitoring and public-health analytics, including a React Native patient-monitoring app with secure GPS mobility capture, reliable sync, and authenticated serverless REST APIs for high-throughput ingestion.
I also build large-scale modeling pipelines over 2TB+ mobility data, turning noisy GPS traces into stays and behavioral features, then modeling outcomes with XGBoost and regression while adding NLP workflows with spaCy, NLTK, and transformer embeddings.
Beyond analytics, I architect RAG + fine-tuned TTS experiences that preserve privacy while improving responsiveness through streaming—alongside production ML APIs and monitoring from my retail recommendation and visual search engineering work.
Experience
Work history, roles, and key accomplishments
Software Development Engineer
UCIPT
Jun 2024 - Present (2 years 1 month)
Developed a React Native patient-monitoring mobility app and serverless REST APIs using AWS for secure GPS mobility capture and reliable data ingestion. Also built AI/speech applications including a privacy-focused RAG pipeline with fine-tuned TTS for personalized voice playback.
Software Development Engineer Intern
Fact Finder Pro
Jan 2024 - Jun 2024 (5 months)
Engineered an AI-powered retail recommendation and visual search platform, combining personalized recommendation models with real-time inference APIs. Built YOLOv8-based visual search services and ML monitoring to improve catalog enrichment and recommendation performance.
Education
Degrees, certifications, and relevant coursework
University of Chicago
Master of Science in Statistics, Statistics
2022 - 2024
Grade: GPA: 3.8
Master of Science in Statistics at the University of Chicago (GPA: 3.8) from Oct. 2022 to Jan. 2024.
University of Washington
Bachelor of Science in Statistics and Computer Science, Statistics and Computer Science
2018 - 2022
Grade: GPA: 3.7
Bachelor of Science in Statistics & Computer Science at the University of Washington (GPA: 3.7) from Sep. 2018 to Apr. 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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