Jonathon Shen
New Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolJonathon Shen is a product-minded software engineer with 10 years of experience building consumer and infrastructure-facing products across Tesla, Instagram, Gogoro and startups. He blends deep technical chops in reinforcement learning and backend refactors (notably contributions to the popular garage RL toolkit) with product leadership—driving battery longevity and AI-driven predictive charging at Gogoro and launching growth-oriented features at Instagram and Tesla. As a co-founder he shipped sustainability-focused EV charging and refugee-assistance products, and he has hands-on experience fine-tuning LLMs with RAG and HyDE for government use. Based in New Taipei and currently pursuing an MBA at INSEAD, he pairs startup grit with measured strategy, often bridging R&D, data-driven product decisions, and scalable engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Southern CaliforniaMaster of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at INSEADHigh School, High School at Northfield Mount HermonConcordia International School Shanghai
English, Chinese
Github Skills (7)
tensorflow10
python10
rep9
repr9
algorithm9
pytorch9
algorithms9
Programming languages (2)
Github contributions (5)
rlworkgroup/garage
Jun 2018 - Sep 2019
A toolkit for reproducible reinforcement learning research.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 68 PRs, 403 pushes in 1 year 3 months
Contributions summary:Jonathon's primary contribution involved refactoring and moving code related to TensorFlow within the repository. This included migrating files from `sandbox.rocky.tf` to the `rllab.tf` directory, which suggests a focus on the TensorFlow integration within the reinforcement learning framework. Additionally, the user made changes to several Python files by modifying code related to the implementation of reinforcement learning algorithms.
pytorchreinforcement-learningreproduciblereproducibilityrl-algorithms
jonashen/rllab
Apr 2018 - Jun 2018
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Contributions:24 pushes, 5 branches in 1 month
reinforcement-learning-algorithmsdevelopingreinforcement-learningdeep-reinforcement-learninglearning-algorithms
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