Christos Tsanikidis
Machine Learning Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChristos Tsanikidis is a Machine Learning Engineer in San Francisco with 10 years of experience bridging rigorous academic research and production ML at scale. He holds a masters and PhD from Columbia with top grades and has won IEEE INFOCOM best paper awards in 2020 and 2024, reflecting deep strengths in probability, optimization, and algorithms. His industry work spans optimizing large transformer models (50% parameter reduction at Microsoft), quantitative research on automated market making and event forecasting at Morgan Stanley, and current focus on agents, LLMs, synthetic data, and evaluations at Google. He is comfortable taking ideas from provable-algorithm design to high-impact engineering, and often blends theoretical guarantees with practical performance gains. Exceptionally, his background includes both top-tier theory contributions and hands-on deployment experience across finance and web-scale ML.
10 years of coding experience
5 years of employment as a software developer
Master's & PhD, Optimization, Algorithms, Networks, 3.97/4.00, Master's & PhD, Optimization, Algorithms, Networks, 3.97/4.00 at Columbia University in the City of New YorkBachelor's and MEng, Electrical & Computer Engineering, Computer Science, Overall GPA 9.1/10 (top 6%), Major 9.5/10, Bachelor's and MEng, Electrical & Computer Engineering, Computer Science, Overall GPA 9.1/10 (top 6%), Major 9.5/10 at National Technical University of Athens
Stackoverflow
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0reached
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Github Skills (11)
plugin8
arxiv5
snippet5
nlp4
internet4
vim4
model-compression4
pruning3
ultisnips3
acl3
bert3
Programming languages (1)
Github contributions (5)
ctsan/Java-Swing-Helping-Code
Aug 2015 - Feb 2017
Contributions:5 commits, 1 PR, 5 pushes in 1 year 6 months
programming-coursentua-ecentuainternetece
ctsan/ctsan.github.io
Aug 2017 - May 2023
Contributions:42 pushes, 1 branch in 5 years 9 months
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