Zane Peycke
Head Of Machine Learning at The Grid
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZane Peycke is Head of Machine Learning based in New York with 11 years of experience building AI systems for high-stakes, economically valuable applications. He leads small, innovative teams while remaining a hands-on contributor, focusing on model evaluation, market design, and red teaming across multi-provider infrastructure. His work spans autonomous AI in finance, human-AI collaboration, developer tooling, and production-grade systems such as recommendation engines, opt-in credit scoring, anomaly detection, and custom LLMs for code generation. Earlier research at Columbia and UW produced transformer-based accessibility tools and graph neural network approaches for manipulated media detection, reflecting a strong bridge between academic rigor and production impact. Comfortable with messy, real-world data—evidenced by geospatial and data-cleaning work in development contexts—he pairs physics and MS-level training with practical ML leadership to deliver auditable, safety-minded AI.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Physics, Minor in Art History, Bachelor of Science - BS, Physics, Minor in Art History at University of WashingtonMaster of Science - MS, Master of Science - MS at Columbia University
Stackoverflow
11reputation
60reached
0answers
1question
Github Skills (25)
html6
video-detection6
css6
json-rpc5
cryptocurrency4
graph4
crypto4
ethereum4
deepfake4
deep-learning3
rpc3
subgraph3
smart-contracts3
graph-convolutional-networks3
uniswap3
Programming languages (4)
Github contributions (5)
ZanePeycke/argo
Apr 2020 - Jul 2021
(public) motion forecasting for Argo
Contributions:9 PRs, 15 pushes, 4 branches in 1 year 3 months
forecastingmotionbadukmotion-forecastingargo
ZanePeycke/wheatrust-public
Feb 2020 - Aug 2021
Public files ICLR Workshop Challenge #1: CGIAR Computer Vision for Crop Disease
Contributions:18 PRs, 34 pushes, 1 branch in 1 year 6 months
iclrvisioncropdeep-learningcgiar
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