Anna Tochylina — Machine Learning Engineer
Machine Learning Engineer with a focus on Computer Vision, Generative AI and Reinforcement Learning. Proficient in developing and implementing algorithms for image recognition in tasks such as object detection, semantic segmentation and classification. Skilled in leveraging advanced techniques to extract meaningful insights from visual data. Hands-on experience with deep learning architectures like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) for creating realistic and novel visual content. Developing and implementing algorithms for decision-making systems, including reinforcement learning techniques such as Q-learning, Deep Q-Networks (DQN), and policy gradient methods. Skilled in designing and training agents to make sequential decisions in dynamic environments, with applications in game playing and autonomous navigation. Former C++ Game Developer with over 5 years of industry practice, skilled in contributing to a variety of projects across PC, consoles, mobile apps, and Set-Top Boxes. Proficient in using Unreal Engine and Amazon Lumberyard for development projects.
Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on Game Development and AI technologies.
Location: Valencia, Valencian Community, Spain
Experience: 6 yrs 3 mos
Skills
- Machine Learning
- Artificial Intelligence (ai)
- Game Development
Career Highlights
- Expert in Computer Vision and Generative AI.
- Proficient in C++ game development with over 5 years of experience.
- Skilled in advanced reinforcement learning techniques.
Work Experience
Profit Center FX
Machine Learning Engineer (1 yr 5 mos)
Frag Lab
C++ Game Developer (2 yrs 11 mos)
PlayWorks Digital Limited
Game Developer (1 yr 6 mos)
TransGaming
C Developer (5 mos)
Education
Master's degree at Kyiv National Economics University
Bachelor's degree at Kyiv National Economics University