Alvin Wan
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlvin Wan is a Member of Technical Staff at OpenAI with 12 years of experience optimizing large language model inference and production ML systems. Previously a Senior Research Scientist at Apple, he delivered a 2x latency reduction for server-side LLMs and published UPSCALE at ICML 2023, blending production engineering with academic rigor. His background includes impactful research internships at Facebook (FBNet series) and Tesla, production deployments in real-world scheduling and autopilot systems, and building widely used education tooling at Berkeley (datascience, Ok.py). Alvin holds a PhD in Computer Science from UC Berkeley and is known for making AI run really fast—off-duty he’s a cheesecake-loving corgi fan who intentionally punctuates his first name.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyHigh School, High School at Walnut High School
English, Chinese
Stackoverflow
540reputation
45kreached
19answers
0questions
Github Skills (19)
pytest10
python10
testing10
data-manipulation10
pandas10
numpy10
tabular10
data-analysis10
data-structure9
data-structures9
data-visualizations7
data-visualisation7
data-visualization7
html6
latex6
Programming languages (11)
Github contributions (5)
data-8/datascience
Jul 2015 - Jan 2016
A Python library for introductory data science
Role in this project:
Data Scientist
Data ScientistContributions:6 releases, 79 commits, 15 PRs in 5 months
Contributions summary:Alvin's primary contribution focused on expanding the functionality of a Python library for data science. Their work included adding features for creating and manipulating tables, implementing methods for data transformation (e.g., stacking), analysis (e.g., calculating stats, joins), and visualization. The commits also involved writing comprehensive tests using pytest to ensure the reliability and correctness of the implemented features.
python-librarydata-analysispythonsciencedataframes
alvinwan/ergo
Jan 2019 - Feb 2019
Contributions:43 commits, 11 pushes in 27 days
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