Eric Ye
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolEric Ye is a Member of Technical Staff with 14 years of engineering experience building low-level systems, embedded firmware, and performance-focused backend tooling across companies from Pebble and Tesla to Google and Anthropic. He blends silicon validation and power/performance platform work with hands-on firmware and systems experience—shipping features for Nest devices and improving trace processor APIs in the widely used Perfetto project. Trained in mechatronics and electrical engineering (Waterloo; MS at Stanford), he has a track record of turning hardware constraints into reliable software—evident in battery-simulator hardware that slashed test costs and CUDA reimplementations that delivered 600x speedups. Based in San Francisco, he gravitates toward bringing new technology to people by improving robustness, testability, and developer-facing tools.
14 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (BASc) Honours Mechatronics Engineering with AI option, Bachelor of Applied Science (BASc) Honours Mechatronics Engineering with AI option at University of WaterlooMarc Garneau C.I.Masters of Science in Electrical Engineering, Masters of Science in Electrical Engineering at Stanford University
Stackoverflow
1reputation
0reached
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Github Skills (13)
machine-learning10
c-language10
cprogramming-language10
python10
api-design9
modeling9
model-driven-development9
model-driven9
testing9
model-building9
api8
apidoc8
build-system7
Programming languages (10)
Github contributions (5)
google/perfetto
May 2022 - Aug 2022
Production-grade client-side tracing, profiling, and analysis for complex software systems.
Role in this project:
Backend Developer
Backend DeveloperContributions:7 commits in 2 months
Contributions summary:Eric contributed to the codebase by modifying the `python/perfetto/trace_processor/api.py` file to mark Trace Processor Row objects as having dynamic attributes, which fixed pytype errors. They also made changes in `src/tracing/core/shared_memory_arbiter_impl_unittest.cc` related to startup tracing. These changes seem to enhance the trace processor API and improve testing functionality, indicating a focus on backend development and code correctness.
profiling
ericye16/PyAHP
May 2012 - Aug 2012
Contributions:32 commits in 3 months
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