Achal Dave

Member Of The Technical Staff at Anthropic

San Francisco, California, United States
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Summary

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Achal Dave is a research-driven machine learning and computer vision engineer with 14 years of experience building HCI-focused systems across industry labs and research teams. Currently a Member of the Technical Staff at Anthropic, he previously drove applied AI research as a Research Scientist at Toyota Research Institute and an Applied Scientist at Amazon, following internships at Meta and Google. He holds a PhD in Computer Vision from Carnegie Mellon and a long-standing UC Berkeley background in EECS, blending rigorous academic methods with production-minded engineering. His work sits at the intersection of perception and interaction—shipping camera- and audio-driven prototypes, exploring unsupervised audio-visual learning, and improving how humans interact with intelligent systems. Known for moving ideas from prototypes to deployed features, he brings both deep research pedigree and practical product impact.
code14 years of coding experience
job6 years of employment as a software developer
bookEngineering Electrical Engineering and Compuer Science, Engineering Electrical Engineering and Compuer Science at University of California, Berkeley
bookDoctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at Carnegie Mellon University
languagesEnglish, Hindi, Gujarati
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Github Skills (200)

opencv10
language-model10
python10
image-processing10
stylegan10
code-completion10
luarocks10
vim10
telegram10
lua10
gtk10
code-analysis10
deep-learning10
meter10
js-beautify10

Programming languages (19)

PowerShellC#C++CRustGoHTMLJupyter Notebook

Github contributions (5)

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Contributions:90 commits, 1 push in 1 year 7 months
Contributions:20 commits, 1 push in 3 years 7 months
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