Chris Lengerich

ML Researcher at ZhenFund 真格基金

Palo Alto, California, United States
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Summary

👤
Senior
🎓
Top School
Chris Lengerich is an ML researcher and founder with 13 years of experience building applied AI products and startups from voice search to personalized language learning. He has led research and product efforts at Meta and Google, co-founded Mindori (YC-backed) and The Cusp, and now focuses on accelerating scientific and engineering productivity through personal AI at Context Fund. Chris blends deep technical work—published keyword-spotting research and production ML systems—with early-stage investing and advising in genomics, women’s health, and deep RL. He has a track record of turning research into deployed products that improve business outcomes (e.g., faster, more accurate pricing models and a launched language-learning product in Indonesia). Based in Palo Alto, he pairs Stanford CS training and international language study with a founder’s instinct for high-leverage problems and a habit of open-sourcing useful tools.
code13 years of coding experience
job9 years of employment as a software developer
bookB.S., Mathematics & International Studies, B.S., Mathematics & International Studies at Penn State University
bookB.S., Mathematics & International Studies, B.S., Mathematics & International Studies at The Schreyer Honors College at the Pennsylvania State University
bookInter-University Program for Chinese Language Studies (IUP), Inter-University Program for Chinese Language Studies (IUP) at Tsinghua University
bookMandarin Chinese (对外汉语), Mandarin Chinese (对外汉语) at Peking University
bookY Combinator
bookM.S., Computer Science, M.S., Computer Science at Stanford University
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Github Skills (41)

keyword10
keyword-spotting10
voice10
voice-activity-detection10
architecture9
python8
deep-learning8
gpu8
machine-learning8
protein-sequences8
semi-supervised-learning7
neural-network6
tensorflow6
authenticity6
bioinformatics5

Programming languages (2)

GoPython

Github contributions (5)

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mindorii/kws

Dec 2017 - Oct 2020

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
Contributions:13 commits, 1 PR, 1 push in 2 years 11 months
end-to-enddeep-learningmachine-learningvoicevoice-activity-detection
Contributions:3 pushes, 1 branch in 3 years 7 months
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