Ryan Goggins
Founder at Mineflow (YC S24)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Goggins is a founder and machine learning engineer with nine years of hands-on experience building production ML systems across industry and research. After contributing to ads engagement models and data pipelines at Google, he launched Mineflow (YC S24) to apply ML to mining operations, blending domain-focused modeling with production-grade infrastructure. A Carnegie Mellon AI graduate who taught graduate-level deep learning and search courses, he pairs strong academic grounding with practical backend skills from internships at Facebook, Etsy, and startups. Ryan’s work spans LSTM-based anomaly detection to C++ MapReduce pipelines and Kafka stream processing, reflecting a rare mix of model-building and systems engineering. He’s based in San Francisco and quietly favors applied research that moves quickly from prototype to field impact.
9 years of coding experience
3 years of employment as a software developer
Undergraduate Coursework CS106A, Undergraduate Coursework CS106A at Stanford UniversityBS from the School of Computer Science Artificial Intelligence, BS from the School of Computer Science Artificial Intelligence at Carnegie Mellon UniversityPhillips Academy
Github Skills (40)
dalvik10
decompiler10
deobfuscation10
java-decompiler10
apktool10
java-bytecode10
java10
smali10
android10
dex10
resharper10
linux6
bash6
zsh5
shell5
Programming languages (4)
Github contributions (5)
rgoggins/The-Second-Brain
Feb 2018 - Feb 2018
Contributions:4 PRs, 74 pushes, 1 branch in 16 days
brainiossecondsecond-brainios-application
rgoggins/resume
Jul 2021 - Apr 2022
Contributions:6 pushes, 1 branch in 9 months
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