Danylo Ulianych
Senior Computer Vision Engineer at inVerita
Kyiv, Ukraine
Summary
🤩
Rockstar🎓
Top SchoolDanylo Ulianych is a Senior Computer Vision Engineer based in Kyiv with 11 years of experience bridging deep learning, neuroscience, and embedded systems. He builds production-ready vision and signal-processing solutions and has a research background in sparse coding, MCMC for binary neural nets, and entropy-based methods that informs his algorithmic approach. Danylo has led scientific software efforts—optimizing Python with CUDA/Numba/MPI and coordinating teams—and shipped real-world systems from robot navigation to face recognition and Android 3D graphics. An active open-source contributor, he improved seismological triggers in ObsPy and enhanced ESP32 sensor drivers, showing a rare mix of low-level embedded driver work and high-level ML research. Notably, his interests span mutual information and sound surveillance, reflecting a cross-disciplinary curiosity that drives practical innovations at the intersection of neuroscience and computer vision.
11 years of coding experience
6 years of employment as a software developer
Physics, Physics at Lyceum of natural-science education, Zhovti VodyMaster’s Degree, Engineering Physics/Applied Physics, Master’s Degree, Engineering Physics/Applied Physics at Kyiv Polytechnic Institute
English, Ukrainian, Russian
Stackoverflow
650reputation
170kreached
6answers
19questions
Github Skills (24)
python10
signal-processing10
seismology10
c1110
numpy10
c1710
i2c10
esp-idf10
data-science9
data-structure9
algorithm9
algorithms9
waveform9
documentation9
data-analysis9
Programming languages (18)
Github contributions (5)
obspy/obspy
Nov 2021 - Dec 2022
ObsPy: A Python Toolbox for seismology/seismological observatories.
Role in this project:
Data Scientist
Data ScientistContributions:11 reviews, 8 commits, 4 PRs in 1 year 1 month
Contributions summary:Danylo primarily contributed to improving and implementing seismological signal processing techniques within the ObsPy library. Their work includes enhancing trigger functions like `recursive_sta_lta_py` and `z_detect`, optimizing them through vectorization and explicit type definitions. They also introduced the simple Akaike Information Criterion (AIC) for event detection and improved the energy ratio trigger methods. The user also contributed to the documentation and testing of these functionalities.
seismologypythonsciencetoolboxdata-center
UncleRus/esp-idf-lib
Jan 2022 - Aug 2022
Component library for ESP32-xx and ESP8266
Role in this project:Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:6 commits, 4 PRs, 7 comments in 6 months
Contributions summary:Danylo contributed to the ESP-IDF component library, primarily focusing on drivers for various sensors and devices. They implemented functionalities for interacting with DS3231 real-time clock (RTC), including setting and getting aging offset and square wave frequency. The user also added support for the HMC5983L magnetometer, increasing data rate options. Further contributions involved documentation updates and driver improvements for existing components.
co2-sensoresp32-c3daci2c-devicemagnetometer
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