Filip Hlasek

Engineering at Applied Intuition

Mountain View, California, United States
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Summary

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Rockstar
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Filip Hlasek is an engineering leader with 12 years of experience building robotics and autonomous-vehicle software at startups and major teams in the Bay Area, currently at Applied Intuition. He has repeatedly founded and scaled engineering teams—from the first hire at a teleoperation startup to leading ML-driven perception and prediction groups at Level 5/Lyft and Woven Planet—shipping production-grade systems for localization, prediction, and driver behavior classification. A decorated competitive programmer (IOI silver, ACM ICPC silver, Google Code Jam top-3) who also coaches gifted students, he brings rare algorithmic rigor to large-scale, safety-critical systems. His hands-on contributions include algorithmic C++ work—fixing overflows, refactoring, and test coverage in the widely used TheAlgorithms/C-Plus-Plus repo—highlighting a focus on code quality and correctness. He pairs product-minded technical leadership with recruiting and mentoring experience, and prefers tackling the hardest problems where advances yield outsized impact. Based in Mountain View, he combines strong academic results from Charles University with practical startup and automotive-industry execution.
code11 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Unfinished, Doctor of Philosophy (Ph.D.), Computer Science, Unfinished at University of Oxford
bookBachelor’s Degree, Computer Science, Graduated with honors (GPA 1.19, grading system: 1 - best, 4 - not passed), Bachelor’s Degree, Computer Science, Graduated with honors (GPA 1.19, grading system: 1 - best, 4 - not passed) at Charles University in Prague
languagesCzech, English
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Github Skills (8)

data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
testing10
math9
mathematics9

Programming languages (4)

TypeScriptC++ShellPython

Github contributions (5)

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TheAlgorithms/C-Plus-Plus

Jul 2020 - Sep 2020

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Role in this project:
userBack-end Developer
Contributions:24 reviews, 49 commits, 44 PRs in 1 month
Contributions summary:Filip primarily contributed to the implementation and improvement of algorithms in C++. Their work involved fixing integer overflows, refactoring existing code, and adding tests to ensure the correctness of the algorithms. Specifically, the user addressed issues in the `least_common_multiple` and `sieve_of_eratosthenes` implementations, and also refactored and tested the `number_of_positive_divisors` function. These contributions demonstrate a focus on mathematical algorithms, code quality, and testing.
mathematicscomputer-sciencealgorithms-implementededucational-purposesscience
Contributions:9 pushes, 1 branch in 4 years 4 months
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Filip Hlasek - Engineering at Applied Intuition