Oskar Triebe
PhD Student at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolOskar Triebe is a PhD student in Industrial AI at Stanford with eight years of experience building practical ML systems that bridge research and production. He created NeuralProphet, an open-source forecasting tool marrying deep learning and statistical time-series methods, and is designing a novel OS for battery virtualization on industrial IoT edge devices. His background spans startups and enterprise R&D—from developing CNNs for high-frequency trading to prototyping cyber-attack detectors and shaping AI strategy as an early hire at Luminovo. Trained originally in environmental engineering at ETH Zürich and with international field experience, he combines rigorous quantitative skills with product-minded execution. Based in Palo Alto, he prefers Rust for systems work, reflecting a focus on safe, high-performance implementations.
8 years of coding experience
1 year of employment as a software developer
Hong Kong University of Science and Technology (HKUST)Bachelor of Science (B.S.), Environmental Engineering, Bachelor of Science (B.S.), Environmental Engineering at ETH ZürichMaster of Science (M.S.), Artificial Intelligence for Industrial and Urban Systems, Master of Science (M.S.), Artificial Intelligence for Industrial and Urban Systems at Stanford University
Chinese, Spanish, French, Finnish, English, German
Github Skills (62)
distro10
nmap10
lunrjs10
linux10
deb10
binaries10
package10
scanning10
vulnerability9
muxer9
sendmail9
package-management9
scanner9
networking9
security9
Programming languages (6)
Github contributions (5)
azuma-chat/azuma_backend
Nov 2019 - Jul 2020
Azuma Chat Service
Contributions:28 commits, 1 PR, 27 pushes in 8 months
chatnodejschat-service
azuma-chat/azumaneo
Dec 2020 - Feb 2022
The Azuma backend server
Contributions:3 reviews, 37 commits, 4 PRs in 1 year 1 month
backend
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