Marko Vasic
Machine Learning Engineer at Google DeepMind
United States
Summary
👤
Senior🎓
Top SchoolMarko Vasic is a Machine Learning Engineer with a PhD from UT Austin and nine years of experience bridging software engineering, ML research, and product work at organizations including Google DeepMind, Google Brain, Facebook, Novartis, and Nordeus. He helped build a cross-platform Top Eleven game that reached millions of monthly users and contributed SE tools and a regression-test-selection technique during his PhD, blending rigorous research with production-grade engineering. His ML work includes publications at ICML and ICLR and an ICLR paper from his Google Brain internship on neural program repair, plus applied model-interpretability work at Novartis. At DeepMind he currently focuses on optimizing Gemini for Google Search, applying post-training techniques to real-world GenAI systems. He combines deep theoretical training (Coq, Alloy) with hands-on experience shipping large-scale systems and is motivated by the discipline and competitive mindset he draws from professional sports.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at The University of Texas at AustinBachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at University of Belgrade
Github Skills (38)
java9
linux9
cil9
windows9
3d9
android9
bytecode9
mono9
2d9
libgdx8
game-development8
dotnet8
ios8
commons8
game-engine7
Programming languages (6)
Github contributions (5)
marko-vasic/crnPlusPlus
Jul 2018 - Mar 2022
Implementation of a first imperative molecular programming language (CRN++)
Contributions:1 review, 19 commits, 1 PR in 3 years 8 months
programming-language
marko-vasic/marko-vasic.github.io
Nov 2019 - Dec 2022
Contributions:1 PR, 34 pushes, 1 branch in 3 years 1 month
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