Jun Ye
Senior Machine Learning Researcher at ByteDance
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJun Ye is a Senior Machine Learning Researcher with eight years of experience building scalable ML infrastructure and production-grade systems across HCI and computer vision domains. He has led distributed training and benchmarking pipelines, real-time monitoring dashboards, and data collection platforms at companies such as Facebook and ByteDance, improving training efficiency and pipeline throughput materially. Jun has hands-on expertise fine-tuning large open-source LLMs (LoRA) for long-sequence Chinese generation and assembling RAG-based AI agents that integrate tools like calendars and Google Drive. His background spans research and product engineering—from CV data-quality pipelines using OpenCV and MediaPipe to PyQt interfaces for R&D—reflecting a blend of systems thinking and applied research. Based in San Jose, he combines rigorous MS-level engineering training with a knack for turning prototype demos into reliable, deployable services.
8 years of coding experience
8 years of employment as a software developer
Electrical and Computer Engineering and Business major, Electrical and Computer Engineering and Business major at Calvin UniversityMaster of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Carnegie Mellon University
English, Chinese, Japanese
Github Skills (7)
accelerometer6
magnetometer5
sensor5
arduino-library4
temperature4
arduino3
spi3
Programming languages (1)
Github contributions (5)
peteryej/spectrumproj
Nov 2017 - Dec 2017
Contributions:10 commits in 8 days
peteryej/vimrc
Sep 2018 - Dec 2020
Contributions:7 pushes in 2 years 4 months
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