Position: Unity3D Developer
Category: Data Science
Experience: 7 years | English: fluent

- Developed a plugin for Unreal Engine that has garnered over 70k+ downloads on Epic Store, demonstrating my technical expertise and the value I can provide to end-users.
 - Lead the team winning first place in a state grant competition, securing the largest pre-seed stage grant available. This funding enabled us to develop a prototype and successfully complete clinical tests, underscoring my ability to lead a project from concept to implementation.

Education & Certifications:

Natural Language Processing Specialization (1/4 complete 2021)
Completed a course on Generative Adversarial Networks (GANs) in 2020
Earned a Computer Vision Nano Degree from Udacity in 2020
Completed the Deep Learning Specialization by deeplearning.ai on Coursera in 2019
Completed the Machine Learning course by Stanford University on Coursera in 2018
Completed the Game Design and Development Specialisation by Michigan State University on Coursera in 2017
Completed The Complete Unity Developer Course on Udemy in 2016

These achievements and qualifications illustrate my continual commitment to learning, improving my skills, and staying on top of the latest developments in my field.
I'm a seasoned professional with solid expertise in Game Engines - Plugin Development, Shaders, Extended Reality (AR/VR/MR) and Machine Learning (Deep Learning, Computer Vision). I excel in roles fusing product management and ownership, with a passion for crafting exciting B2C products.
My strengths are in AR/VR development using Unity and Unreal Engine, complemented by skills in machine learning, particularly deep learning tasks in computer vision. My toolkit includes Python, PyTorch, fastai, TensorFlow, Keras, and OpenCV.
Starting in 2015, I worked on IoT projects and AR/VR development at the University of Stuttgart and later at a US-based startup. I co-founded a medical startup, leading product design, prototyping, and software development across AR/VR and Computer Vision domains. I have extensive experience with platforms like Microsoft HoloLens, HTC Vive, and Magic Leap One, and depth-cameras such as Microsoft Kinect and Intel RealSense.
In 2019, I led an R&D department of a governmental agency, honing my skills in innovation strategy development, technical consultation, and project management. However, realizing my passion for engineering and product design, I joined a 3D object generation startup. Here, I was working on a plugin for Unreal Engine, which achieved over 60k downloads in the Epic Store. I went all the way from research and prototyping to shipping and conducted research on our proprietary AI technology's potential use cases.
Today, I'm keen on product-centric roles where I can leverage my experiences and skills in the areas that inspire me: the automotive industry, sports (tennis), smart homes, AR/VR, and AI. I'm eager to work on exciting products that truly make a difference in people's everyday lives.
- Product-Centric Culture: I thrive in environments where everyone passionately invests their skills and expertise into the product, refusing to settle for mediocrity. I seek a company that prioritizes product quality over profits, believing that exceptional products naturally generate sustainable revenue.

- Optimal Team Size: I find teams of 20-40 members to be the sweet spot. In a team of this size, everyone can focus on their work, directly feel the impact of their contributions, and there's no room for redundant layers of management.

- Knowledge Sharing: I value opportunities for mutual learning within a team. Working with seasoned professionals who bring diverse experiences and perspectives is a significant plus for me.

- Communication & Location: I am open to relocation or remote work, provided the majority of the team also works remotely. It's essential for me to maintain regular communication with my team, so being the only remote worker isn't an option for me. I prefer to work in English or Russian-speaking environments, as I'd like to avoid potential language barriers that could arise in Ukrainian-speaking companies.