Stefan Todoran
Applied Scientist at UiPath
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolStefan Todoran is an applied scientist and University of Washington computer science graduate with a decade of engineering experience focused on ML and computer vision. He currently trains LLMs for document extraction at UiPath while conducting CV research and building reproducible end-to-end ML workflows with GeoSMART, where he also helps develop curriculum and mentors undergraduates. His background blends hands-on full-stack engineering—mobile apps, backend automation, and CI/CD—with research rigor, enabling him to move prototypes into production. Based in Seattle, he has a track record of saving operational hours through automation and prefers building custom, dependency-light solutions. Outside work he shares learnings through a technical blog and open project pages, reflecting a commitment to accessible ML tooling and education.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of WashingtonGeneral Studies, General Studies at Garfield High School
Romanian, Spanish
Github Skills (36)
programming-language10
python10
multi-gpu10
geoscience9
xhtml8
gpu8
pytorch8
machine-learning7
minify7
gis7
deep-learning7
jupyter-book6
game-development6
tpu6
javascript6
Programming languages (6)
Github contributions (5)
geo-smart/geo-smart.github.io
Jun 2022 - Mar 2025
Organization website and blog for GeoSMART, dedicated to expanding the role of ML in the geosciences.
Contributions:1 PR, 79 pushes, 1 branch in 2 years 10 months
geo-smart/mlgeo-book
Dec 2022 - Jan 2025
Student version of the GeoSMART curriculum book with exercises left blank
Contributions:136 pushes, 1 branch in 2 years 2 months
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