Oleksii Udod
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer | Computer Vision, Deep Learning, AI
Results-driven Senior Software Engineer with over 10 years of experience in software engineering - More than 7 years specializing in computer vision Expertise in developing high-precision computer vision systems for: - Autonomous robots - Industrial safety solutions - Retail analytics Skilled in designing and implementing machine learning models using: - Python - PyTorch - inference speed-up technics - neural network accelerators - C++ Strong emphasis on creating innovative and scalable computer vision solutions Passionate about advancing the field of computer vision Dedicated to leveraging cutting-edge technologies to solve complex problems and drive technological innovation
Taras Shevchenko National University of Kyiv
Master's degree, Radiophysics
January 1, 2007 – January 1, 2013
Lutso
Founding Engineer
April 1, 2025 – June 1, 2026
Tallinn, Harjumaa, Estonia
Starship Technologies
Senior Software Engineer
May 1, 2021 – March 1, 2025
Tallinn, Harjumaa, Estonia
Everguard.ai
Senior Computer Vision Engineer
April 1, 2020 – April 1, 2021
DSIRF GmbH
Data Scientist (Computer Vision)
February 1, 2018 – March 1, 2020
Kyiv
NDA
Machine Learning Engineer
February 1, 2016 – January 1, 2018
Kyiv
Intro Pro
Software Developer
October 1, 2015 – February 1, 2016
Kyiv
Samsung Ukraine R&D Center
Software Engineer
October 1, 2013 – September 1, 2015
Kyiv
Introduction to machine learning by Higher School of Economics
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning by Stanford University
Coursera Course Certificates
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
2nd International Summer School on Deep Learning 2018
University of Genova
June 24, 2026 – Present
mlcourse_open
OpenDataScience [ods.ai]
June 24, 2026 – Present
Cryptography I
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a broad range of experience across different industries (robotics, industrial safety, retail, blockchain, IoT) and company stages (startup, established R&D). This diversity suggests adaptability and a willingness to tackle varied challenges, which generally indicates a good cultural fit for dynamic and innovative environments. The continuous learning indicated by multiple certifications also points to a proactive and growth-oriented mindset. The target role of ML Engineer aligns well with the candidate's career trajectory and specialized skills.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication' and 'Problem Solving' as skills across multiple roles. The descriptions of past roles indicate experience in applying technical skills to solve real-world problems in diverse domains like autonomous vehicles, industrial safety, and retail. However, without specific assessment data for soft skills or psychometric tests, a detailed operational fit analysis is limited. The experience as a 'Founding Engineer' suggests an entrepreneurial mindset and ability to work in dynamic environments.