Marcus Rosti
Machine Learning Engineer at Baton
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMarcus Rosti is a Machine Learning Engineer with 11 years of experience building resilient ML platforms and low-latency runtime services, currently working in San Francisco. He designed and operated the machine learning platform behind PlayStation store experiences, including a sub-millisecond feature store and high-throughput Spark jobs, and has led Databricks-based platform PoCs that influenced multiple teams. His background spans production ML, backend engineering in Scala, Kubernetes, and feature engineering, with hands-on experience shipping recommendation systems and data lake integrations. An early open-source contributor to the Center for Open Science's OSF.io, he has practical experience improving backend logging, file check-in workflows, and UX-focused time formatting. Marcus combines strong academic training in data science and mathematics with a track record of mentoring engineers and translating research-grade models into robust, production services.
11 years of coding experience
11 years of employment as a software developer
Salem High SchoolMaster of Science - MS, Data Science, Master of Science - MS, Data Science at University of Virginia
English, Spanish
Github Skills (8)
modeler10
logging10
modello10
python10
database-design10
modeling10
django10
javascript8
Programming languages (9)
Github contributions (5)
CenterForOpenScience/osf.io
Dec 2015 - Jan 2016
Facilitating Open Science
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 5 PRs, 7 comments in 27 days
Contributions summary:Marcus focused on enhancing the OSF.io platform's backend functionalities. Their work involved adding new component options, correcting whitespace issues, and restructuring component dictionaries. A significant portion of their commits centered on implementing and refining file check-in/checkout logging features, including database model updates and template modifications. Furthermore, they implemented preregistration logging, and enhanced the user experience by optimizing time display formats. They also implemented logging for tagging files.
pythonsciencedjango-rest-frameworkdjangojavascript
Marcus-Rosti/CS_5010_Project
Jul 2015 - Aug 2015
Contributions:43 commits, 32 pushes, 11 branches in 22 days
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