Staff Infrastucture Engineer, Machine Learning at Monarch
Austin, Texas, United States
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Summary
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Peter W is a Staff Infrastructure Engineer specializing in machine learning infrastructure with seven years of experience building scalable, secure cloud-native platforms. Currently at Monarch Money, he focuses on scaling infrastructure and AI capabilities for a rapidly growing product, drawing on prior work at Anaconda where he unified ML and traditional services into a Helm-based, GitOps-driven platform. He has deep hands-on expertise in GPU-accelerated Kubernetes, cost-optimized spot-instance strategies, observability and SOC 2/ISO-aligned security controls, and has driven dramatic reductions in provisioning and incident rates. His open-source contributions include improving PyScript examples and browser-based Python UX, reflecting a practical interest in developer experience and front-end integration for ML tooling. Based in Austin, he combines systems-level engineering with automation-first thinking to deliver repeatable, self-service infrastructure for data science and ML teams.
7 years of coding experience
8 years of employment as a software developer
High School Diploma, High School Diploma at Moorpark High School
Bachelor of Arts (B.A.) Political Economy, Bachelor of Arts (B.A.) Political Economy at New York University
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Role in this project:
Full-stack Developer
Contributions:1 release, 42 reviews, 27 commits in 4 months
Contributions summary:Peter primarily contributed to updating and refactoring the example applications within the PyScript project. They refactored several example HTML files, updating the links to include the latest or unstable versions of the PyScript resources (CSS and JavaScript). Additionally, the user made changes to a Python file to improve the rendering of images, including changes in a palette of colors. These modifications indicate a focus on improving and maintaining the examples, and the overall user experience.
A lightweight container for advanced TP-Link Kasa smart device automation
Contributions:8 releases, 30 PRs, 138 pushes in 10 months
automationdockerdocker-composehome-automationkasa
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Peter W - Staff Infrastucture Engineer, Machine Learning at Monarch