Position: Data Scientist / ML developer
Category: Data Science
English level: fluent
Years of experience: 4

I developed a collision prediction system.
I suggested using other neural net architecture (CNN -> transformers). I researched the SOTA papers, trained the most applicable model on our data, and integrated it into an existing pipeline.
I suggested and implemented automated testing and reporting, which previously was manual (each manual iteration took ~2 hours).

I proposed an approach for adversarial attacks on OCR (Tesseract) for my bachelor's thesis.
Scholarship holder at Ukrainian Catholic University. Teacher assistant for Python course (lectured and created new projects for students). I proposed and implemented: 4 big group projects, 12 workshops in Colab, and a git workshop for 100 people. I managed a team varying from 2 to 5 people. I also gave lectures.
For my master's thesis, I proposed a novel model-based method to improve the camera calibration's feature detection step.
3.5 years of work in GlobalLogic as a computer vision engineer on an automotive project. Sensor fusion using classical CV in C++/python.

One year of work at Samsung as a CV engineer. The project is about image understanding, utilizing deep learning and classical CV approaches.

I have a bachelor's in computer sciences from the Taras Shevchenko National University of Kyiv and a master's in data science from the Ukrainian Catholic University.
1.5 years of non-commercial experience in the UNIT Factory. C/C++ projects, python, dozen small group projects, each in a different language (golang, lisp, PHP, javascript, java).
I am looking for a position where I'll improve my research, ML, and programming skills. I'm mostly interested in R&D.
I also value exciting and passionate people.
Also, I need to be able to handle my time. It's acceptable to have occasional emergencies, but I won't be able to handle constant tasks "due tomorrow".