Chenlu Ji is a Machine Learning Engineer with a decade of experience building full-stack ML solutions, specializing in predictive maintenance and production-ready data pipelines. With a PhD from HKUST and an MA in Statistics from Columbia, Chenlu blends deep research training with practical engineering, having progressed from intern roles to senior data scientist positions at ControlTec/Aptiv and now TinyFish. They have extensive experience with AWS-based ETL, S3 data workflows, and end-to-end model deployment, and have led cross-functional efforts to operationalize predictive models in automotive-connected services. Based in Mountain View, Chenlu combines strong statistical foundations with hands-on software engineering, favoring pragmatic solutions that scale in real-world systems. An often-overlooked strength is their continuity across roles—moving with a product through acquisition and consistently delivering impact across research, engineering, and production environments.
10 years of coding experience
9 years of employment as a software developer
Master of Arts (MA) Statistics, Master of Arts (MA) Statistics at Columbia University
Hong Kong University of Science and Technology (HKUST)
Contributions:28 commits, 22 pushes, 1 branch in 3 months
pythonmoviesboxdatasetmovie
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.