Ian Conway
Data Science Manager
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolIan Conway is a Data Science Manager in San Francisco with a decade of experience applying deep learning to time-series problems and production ML systems. He combines hands-on model development (LSTMs, GANs, DQNs, transfer-learned GPT-2) with productionization skills—Docker, Kubernetes, TensorFlow—and a security-minded perspective from his work at Bugcrowd and prior vulnerability disclosures. Ian’s background in music technology and speech synthesis informs a unique cross-disciplinary approach to audio and signal-focused ML, and he has a track record of shipping learning-to-rank models, experiment tracking, and high-impact pipelines. Curious about reinforcement learning and cybersecurity, he maintains an active GitHub showcasing music- and security-related projects that bridge research and deployable products.
10 years of coding experience
8 years of employment as a software developer
Music Recording/Industry, Music Recording/Industry at San Francisco State UniversityAssociate’s Degree, Liberal Arts and Sciences, General Studies and Humanities, Associate’s Degree, Liberal Arts and Sciences, General Studies and Humanities at City College of San FranciscoUniversity of California Santa Cruz
Github Skills (61)
python10
machine-learning10
keras10
tensorflow10
deep-learning10
google-colaboratory10
hyperparameter-tuning10
data-science9
magenta9
reinforcement-learning9
music-generation9
pytorch9
ml9
deep-neural-networks9
neural-network9
Programming languages (4)
Github contributions (5)
iantheconway/network_width_and_transfer_learning
Jan 2020 - Apr 2021
Experiments on the relationship between hidden layer width and transfer learning inspired by 1909.11572
Contributions:1 review, 9 PRs, 92 pushes in 1 year 2 months
pytorchdeep-learningtransfer-learningwidthmachine-learning
iantheconway/learning_to_rank
Sep 2020 - Dec 2020
Contributions:34 commits, 31 pushes, 1 branch in 2 months
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