Janine Cheng is a Staff Data Scientist in San Francisco with 10 years of experience combining a PhD in chemical engineering and a decade of industry practice to deliver predictive models, computational simulations, and production ML systems. She has led ML teams and launched end-to-end products across startups and enterprisesāfrom recommender systems and anomaly detection to sensor-driven perception for autonomous vehicles and touchless vital-sign devices. Janine is skilled at bridging domain science and software engineering, building ML DevOps frameworks that make models go live pain-free and guiding client engagements from strategy to execution. Her background in CFD, population balance modeling, and reaction kinetics gives her a quantitative edge for complex physical systems and large-scale data problems. Colleagues rely on her for interdisciplinary communication, pragmatic project leadership, and a relentless focus on productivity and measurable impact.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.Sc.), Chemical Engineering, 3.61, Bachelor of Science (B.Sc.), Chemical Engineering, 3.61 at National Taiwan University
Doctor of Philosophy (PhD), Chemical Engineering, 3.83, Doctor of Philosophy (PhD), Chemical Engineering, 3.83 at Iowa State University
š A delightful community-driven (with nearly 1,500 contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
Contributions:27 pushes, 1 branch in 3 years 1 month
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