Wyatt Walsh

Senior AI ML Engineer at Frame

New York, New York, United States
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Summary

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Senior
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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.
code9 years of coding experience
job4 years of employment as a software developer
bookHigh School Diploma, High School Diploma at The Hotchkiss School
bookBachelor of Science - BS Industrial Engineering and Operations Research, Bachelor of Science - BS Industrial Engineering and Operations Research at UC Berkeley College of Engineering
bookHigh School Diploma, High School Diploma at Bishop Union High School
bookCerro Coso Community College
bookEducational Program For Gifted Youth (EGPY) Bioengineering, Educational Program For Gifted Youth (EGPY) Bioengineering at Stanford Summer Session
languagesEnglish, Spanish
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Github Skills (114)

textbook10
python10
regression10
opcodes10
shieldsio10
statistics10
sports-data10
latex10
statsmodels10
data-visualization10
science10
crossword10
probability10
classification10
crowdsourcing10

Programming languages (7)

TypeScriptRJavaScriptVueHTMLJupyter NotebookPython

Github contributions (5)

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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
notespythonndarrayhierarchicalsimulation
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
elastic-netridge-regressionimplementationsridgeordinary-least-squares
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Wyatt Walsh - Senior AI ML Engineer at Frame