Raymond Yang
Data Engineering Lead
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRaymond Yang is a Data Engineering Lead in the San Francisco Bay Area with eight years of experience building data-driven systems that support user growth at scale. He moved from quantitative trading and market making—where he specialized in index options and microsecond-resolution market data—to leading data engineering for TikTok’s growth initiatives, blending low-latency quantitative instincts with product-focused analytics. His background includes research in combinatorial game theory and machine learning at UC Berkeley, reflecting a comfort with both theoretical and applied problems. Raymond is skilled at turning high-frequency, noisy data into reliable pipelines and actionable signals for product teams. He brings a trader’s emphasis on risk, performance, and real-time feedback loops to production data engineering. Based in the Bay Area with a CS degree from UC Berkeley, he thrives at the intersection of finance-grade rigor and consumer-scale product engineering.
9 years of coding experience
Bachelor's, Computer Science, Bachelor's, Computer Science at University of California, Berkeley
English, Chinese
Github Skills (16)
neural-network10
keras10
pytorch10
machine-learning10
ai-framework10
artificial-intelligence10
deep-learning10
tensorflow10
onnx10
deep-neural-networks10
onnxruntime10
hardware-acceleration10
ai10
python10
ml10
Programming languages (4)
Github contributions (5)
raymondxyang/onnx
Mar 2018 - Jun 2019
Open Neural Network Exchange
Contributions:12 PRs, 400 pushes, 56 branches in 1 year 3 months
neural-network
raymondxyang/wheel-builder
Mar 2018 - Apr 2019
Utils for building and publishing ONNX wheels
Contributions:226 pushes, 7 branches in 1 year 1 month
wheelspublishingutilsonnx
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