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Data Scientist, Deep Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am inspired to be on the cutting-edge of world transformation. Robotics, AI (ML, DL, DS, RL) - what really drives me is a working with brand new technologies.
Pukhov Institute for Modelling in Energy Engineering
PhD Student, Computer Science
January 1, 2016 – January 1, 2020
V. N. Karazin Kharkiv National University
Specialist degree, Finance
January 1, 2004 – January 1, 2007
V. N. Karazin Kharkiv National University
Specialist degree, Physics
January 1, 1996 – January 1, 2002
Aitheon
Data Science Engineer
November 1, 2019 – May 1, 2020
Technical Heaven
Co-Founder, Deep Learning Engineer
March 1, 2019 – November 1, 2019
Nimses Inc.
Head of Data Management Platform
July 1, 2018 – January 1, 2019
Nimses Inc.
Senior Data Scientist, Machine Learning Engineer
January 1, 2018 – July 1, 2018
Ocean S.A.
Senior Data Scientist, Machine Learning Engineer, Lead of Research
July 1, 2017 – December 1, 2017
MobiChord
Machine Learning Engineer
January 1, 2017 – June 1, 2017
Bircomp GmbH
AI developer, Machine Learning Engineer
July 1, 2015 – December 1, 2016
Institute for Scintillation Materials of National Academy of Sciences of Ukraine.
Head of department
February 1, 2003 – April 1, 2014
SSI "Institute for Single Crystals" NAS of Ukraine
Principal Engineer
December 1, 2002 – February 1, 2003
National Science Center “Kharkov Institute of Physics and Technology”
Research Engineer
April 1, 2002 – December 1, 2002
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, startups (Aitheon, Technical Heaven, Nimses Inc.), and established companies. Their roles have involved both individual contributor ML engineering and leadership positions, demonstrating adaptability. The breadth of skills across ML, DL, NLP, CV, and robotics, combined with experience in team building and management, suggests a strong cultural fit for dynamic, innovation-driven environments. The PhD student background also indicates a research-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience includes people management, team development, and communication with stakeholders, suggesting strong soft skills and operational fit for leading technical initiatives. Their history of staffing teams through professional networks indicates proactive engagement and leadership qualities.