Oleksii Avilov
ML EngineerDeep Learning Research Engineer
Quarks Tech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning Research 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 build AI that survives production. 10+ years in AI/ML. Generative models, multi-agent systems, LLM-powered assistants — exciting in demos, brutal at scale. That's where I work.
Universite de Lorraine
Doctor of Philosophy - PhD, Computer Science
January 1, 2017 – January 1, 2021
National Technical University of Ukraine 'Kyiv Polytechnic Institute'
Doctor of Philosophy (PhD), Computer Science
January 1, 2016 – January 1, 2021
National Technical University of Ukraine 'Kyiv Polytechnic Institute'
Master of Science (M.Sc.), Medical devices and systems
January 1, 2009 – January 1, 2015
Quarks Tech
AI/ML Lead
May 1, 2025 – Present
Kyiv, Kyiv City, Ukraine
Quarks Tech
Machine Learning Engineer
April 1, 2024 – May 1, 2025
Kyiv, Kyiv City, Ukraine
ZibraAi
Deep Learning Research Engineer
March 1, 2021 – November 1, 2023
Kyiv, Kyiv City, Ukraine
Inria
Machine Learning / Deep Learning Engineer
July 1, 2017 – February 1, 2021
Nancy, Lorraine, France
Inria
Intern
January 1, 2017 – July 1, 2017
Nancy, Lorraine, France
Mamontova Design
Web Designer
August 1, 2015 – December 1, 2015
Kyiv
BioWave Group
Researcher, Data Analyst, Python Developer
September 1, 2013 – May 1, 2016
Kyiv
Students magazine PLCB
Co-founder, Editor in Chief
January 1, 2012 – November 1, 2015
Kyiv
BioWave Group
Researcher
August 1, 2011 – September 1, 2013
Kyiv
Introduction to Data Science, Business Analytics and Artificial Intelligence
Business Analytics and Data Science Ukraine
June 24, 2026 – Present
Basics of programming in Python
Prometheus
June 24, 2026 – Present
Introduction to Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Deep Machine Learning
Samsung Electronics
June 24, 2026 – Present
Supervised Learning
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Basics of information security
Prometheus
June 24, 2026 – Present
Mathematics and Python for Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Unsupervised Learning
Coursera Course Certificates
June 24, 2026 – Present
Build Basic Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
How to Start a Startup
Prometheus
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Apply Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Build Better Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
Coursera
June 24, 2026 – Present
Using Python to Access Web Data
Coursera Course Certificates
June 24, 2026 – Present
Using Databases with Python
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, ranging from academic research at Inria to industry roles at ZibraAi and Quarks Tech, indicates adaptability to different work environments. The co-founding experience also suggests an entrepreneurial spirit. The breadth of certifications and continuous learning aligns with a culture of innovation and growth. However, the lack of detailed project descriptions makes it difficult to fully assess alignment with specific team dynamics or company values.
Soft Skills & Operational Fit
The candidate's experience as a Co-founder and Editor in Chief, along with roles involving research and data analysis, suggests strong organizational, leadership, and analytical skills. The description of managing corporate identity and coordinating team work indicates potential for good operational fit and collaboration. However, without specific psychometric test results, a definitive assessment of stress handling or team collaboration is not possible.