As a director of a remote development center for an American company I am continuously jumping through series of administrative procedures to ensure legal conduct of international business in our company. As a part of that I am bridging cultural differences between teams, managing expectations on both ends, continuously identifying talented people to grow the team, conducting interviews, hiring and maintaining a healthy international work environment. I am trying hard to promote an (unfortunately) transformative idea in our region - employee is the most valuable asset a company owns and should be treated with maximum respect, fairness and great care.

In a role of technical lead I am helping a team of developers reach maximum efficiency, growth and satisfaction at workplace by conducting rigorous code-reviews, 1-on-1 walkthroughs, pair programming and dispersion of knowledge across all of the team members. I learned how powerful and beneficial investments in people are in a growing company.

Driving the development of motion tracking solutions for clinical applications, healthcare and sports industry. Transforming state-of-the-art computer vision and data processing research to fast, interactive and easy to use products and services, available across wide variety of devices and ecosystems.

Some of the roles I fill in:

Software Architecture - As a lead iOS developer of multiple mobile apps, I am making sure the team writes code which is easy to read, use and maintain, no matter how much the design specifications change. I advocate the use of popular development patterns and architectural best practices when analyzing user requirements. In my mind refactoring outdated/poor code is an investment, not a waste of time.

QA Engineering - Ensuring unit and UI test code coverage and implementing robust cross-project CI/CD pipelines which run smoothly on no matter how creative development team becomes.

AI DevOps - As a Director of R&D I spearheaded the design and implementation of a toolchain for dataset annotation and automated training of production-ready event detection models. The system I helped build includes cluster management, training job control, accuracy evaluation, model versioning and deployment to production. This toolchain is used not only to speed up prototyping, but to evaluate and compare the models and drive business decisions.

Algorithm engineering - I build efficient algorithms for event detection in a continuous motion data stream, delivered over bluetooth 100 times per second from a proprietary IMU sensor. It involves a lot of trigonometry, linear algebra, some robotics and a lot of engineering. Very frequently I read a lot of papers and adapt open-source implementations of state-of-the-art. I translate the product design specifications into a set of formal, strictly defined tasks and pose expected limitations. The harder the problem is, the bigger the kick I get out of tackling it.

Developing spiking neural network cognitive architectures for robotic systems.