Yi Liu
Research Engineer at Handshake
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolYi Liu is a research engineer and UC Berkeley MS student in EECS with nine years of experience applying machine learning to real-world problems across industry and academia. They have worked on VLMs, LLMs, RL, and CV at Scale AI and currently build research-driven ML solutions at Handshake, bringing a strong track record of NeurIPS/ICRA/HRI-accepted robotics and RL work from BAIR. Yi’s background spans production ML (GPU-accelerated embedding services, Kubernetes), clinical NLP, and vision models, and they’ve led multiple Launchpad projects demonstrating creative uses of GANs and style transfer. Comfortable moving between research and engineering, Yi combines rigorous experimental methods with practical deployment experience and a knack for turning academic ideas into production-ready systems. An underappreciated thread across their work is consistent emphasis on efficient, data-driven exploration strategies—whether in curiosity-driven RL or learned dynamics for preference-based learning.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at University of California, BerkeleyHigh School, High School at Northview High School
English, Latin, Chinese
Github Skills (4)
multi-task-learning5
meta-learning4
deep-reinforcement-learning3
reinforcement-learning1
Programming languages (2)
Github contributions (5)
yiliu77/AngelsAndDevils
Jun 2017 - Oct 2018
Contributions:2 commits, 25 pushes, 1 branch in 1 year 3 months
callaunchpad/Explorer
Feb 2019 - May 2019
Analyzing exploration and curiosity-based techniques in deep reinforcement learning
Contributions:35 commits, 32 pushes, 4 branches in 2 months
deep-reinforcement-learning
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