Hello!

I’m Nikolay Falaleev, a Deep Learning Researcher and Developer Lead with a strong passion for real-time multi-modal multi-task pipelines, mainly in the areas of perception, dynamic forecasting and other embodied AI systems. My fascination with robotics and artificial intelligence has been a driving force throughout my career and entire life, as I envision the transformative impact these technologies will have on our future.

I firmly believe in the importance of classical fundamental education to be well prepared to meet all the challenges of the modern fast-changing but fascinating world. I completed my Master’s degree at Lomonosov Moscow State University’s Department of Material Science with honours. This fundamental interdisciplinary programme provided me with a robust foundation in Mathematics, Mechanics, Physics, Chemistry and Computer Sciences, along with hands-on experience in data processing from experimental observations and vast academic research experience.

To stay ahead in the fast-evolving field of AI, I regularly engage in Summer Schools and MOOCs covering Computer Science and Data Analysis. One notable course was Udacity’s Self-Driving Car Engineer Nanodegree, taught by Sebastian Thrun.

In addition to education, I am actively involved in independent projects, academic research on AI and lecturing. I regularly participate in Data Science competitions and share insights and tips for tackling real-world challenges in Computer Vision and Deep Learning. My contributions are detailed on the blog, which serves as a platform for sharing educational projects and discussing innovative ideas.

Professionally, I have led significant advancements at various companies, mainly driving the development of real-time AI systems for sports analytics and MR broadcasting. These experiences have honed my ability to lead cross-functional teams in delivering cutting-edge solutions that are both scalable and commercially viable.

My journey is not just professional but also personal; I am deeply passionate about self-driving cars, deep learning, computer vision, robotics, artificial intelligence, mathematical modelling and unmanned aerial vehicles (UAVs). Beyond work, I contribute to research and open-source AI projects on GitHub.

I look forward to continuing my journey of innovation and exploration in these exciting fields.

Feel free to connect with me if you’d like to discuss any topics further.

See my resume for details.