Pavel Tyshevskyi
Forward Deployed Engineer - Machine Learning at Palantir Technologies
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPavel Tyshevskyi is a Forward Deployed Engineer specializing in machine learning with nine years of experience applying theoretical ML to real-world systems at companies including Palantir and Lyft. He blends hands-on model development and deployment with applied data science, having worked on computer vision and industrial analytics earlier in his career. Trained in applied mathematics and computer science, Pavel ranks in the top 1% of a large mlcourse.ai cohort and has a track record of moving prototypes into production in high-stakes environments. Based in London, he combines consulting-style problem framing with deep technical execution, often bridging the gap between research-grade methods and operational constraints. An observant practitioner, he favors pragmatic solutions that balance model performance with robustness and deployability.
9 years of coding experience
4 years of employment as a software developer
Software Architect, Computer Science, Software Architect, Computer Science at 42Machine Learning (Fall 2019), 27-th out of more than 5000 people (1st percentile), Machine Learning (Fall 2019), 27-th out of more than 5000 people (1st percentile) at mlcourse.aiData Science Summer School, 4 ECTS, Data Science Summer School, 4 ECTS at Ukrainian Catholic UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at UNIT FactoryMaster of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at National University of Water and Environmental Engineering
English, Polish, Russian
Stackoverflow
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0reached
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Github Skills (101)
vowpal-wabbit10
parallel10
python10
hyperparameter-optimization10
deep-learning10
ray10
optimization10
seaborn10
statistics10
pandas10
plotly10
data-science10
reinforcement-learning10
java10
data-analysis10
Programming languages (5)
Github contributions (5)
ptyshevs/int_seq
Nov 2018 - Nov 2018
Predict the next term of an integer sequence using ensemble of models working on different types of sequences: for Fun and Profit! ⏩
Contributions:57 commits, 3 PRs, 25 pushes in 15 days
sequenceworking-onintegerensemblemachine-learning
ptyshevs/rgol_ga
Jan 2019 - Mar 2022
Contributions:35 commits, 4 pushes, 1 branch in 3 years 2 months
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