Wyatt Walsh is a Senior AI/ML Engineer in New York with nine years of experience building production AI/ML systems, data platforms, and developer tooling for regulated and high-stakes environments. He blends enterprise-grade engineering from JPMorgan—designing scalable, low-latency data integrations and ML-driven anomaly detection—with startup grit from founding SandLabs and shipping Web3, DeFi, and drone prototypes. Comfortable across the stack, Wyatt has architected AWS data pipelines, Python-KDB interfaces, and React/Next.js front ends while embedding LLM-driven developer tooling to accelerate SDLCs. He’s equally at home mentoring teams and securing grant-funded research, and his unofficial GitHub persona—"cookin' up some code"—reflects a pragmatic, product-focused approach to experimentation. Notably, he has moved large-scale data projects into production, from multi-million-post scrapers to trader-facing analytics, demonstrating an ability to translate research into auditable, mission-critical systems.
9 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at The Hotchkiss School
Bachelor of Science - BS Industrial Engineering and Operations Research, Bachelor of Science - BS Industrial Engineering and Operations Research at UC Berkeley College of Engineering
High School Diploma, High School Diploma at Bishop Union High School
Cerro Coso Community College
Educational Program For Gifted Youth (EGPY) Bioengineering, Educational Program For Gifted Youth (EGPY) Bioengineering at Stanford Summer Session
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Contributions:3 reviews, 279 commits, 9 PRs in 2 years
Implementations and explanations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization is included.
Contributions:51 commits, 1 PR, 44 pushes in 1 year
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