Petr Novota
Python Dev Lead at Na volné noze
Prague, Prague, Czechia
Summary
🤩
Rockstar🎓
Top SchoolPetr Novota is a Python development lead based in Prague with four years of professional software experience and a strong background in ML/Deep Learning and embedded systems. He progressed from hands-on roles—test automation and big data consulting—to leading Python teams at Luxonis, where he improved installation and cross‑platform support for the popular depthai-python library. As CTO of srovnejinvestice.cz and a freelance developer, he builds production backends and bespoke optimization apps (including a scheduler for large youth camps), showing both product ownership and scalable engineering. Trained in robotics and electrical engineering (CTU and ETH Zürich), he combines systems-level hardware insight with practical Python expertise, making him a go-to problem solver for challenging integrations.
4 years of coding experience
4 years of employment as a software developer
Gymnásium F.X.ŠaldyBakalarske studium, Kybernetika robotika, š., Bakalarske studium, Kybernetika robotika, š. at Faculty of Electrical Engineering, Czech Technical University in PragueElectrical Engineering Technologies/Technicians, Electrical Engineering Technologies/Technicians at ETH Zürich
German, English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (11)
dependency-management10
bash10
script10
ubuntu10
sys9
macos9
automation9
automations9
embedded9
opencv6
python6
Programming languages (4)
Github contributions (5)
luxonis/depthai-python
Nov 2022 - Jan 2023
DepthAI Python Library
Role in this project:
DevOps Engineer & Embedded Systems Engineer
DevOps Engineer & Embedded Systems EngineerContributions:20 reviews, 7 commits, 17 PRs in 2 months
Contributions summary:Petr primarily focused on improving the installation and setup procedures for the `depthai-python` library, particularly for different Ubuntu versions and macOS. They fixed dependency issues related to `libdc1394` and updated the installation scripts for both Linux and macOS, ensuring proper dependency installation. Further contributions included minor improvements to the output text formatting in the installation process, and a change in the update method.
pytorchpython-librarypythondeep-learningmachine-learning
luxonis/robothub-examples
Nov 2023 - May 2024
Contributions:7 reviews, 16 PRs, 56 pushes in 6 months
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