Hi there, I'm Bogdan

My professional focus is on building systems that are both mathematically sound and computationally efficient. At Pitchbook, I manage the taxonomy and orchestration for a complex conversational search agent. This role builds on my experience at VINCI (Cyclope.ai), where I engineered real-time computer vision services capable of processing 300 million daily requests with sub-200ms latency.

I hold an MSc in Applied Mathematics from the National University of Kyiv-Mohyla Academy. During my Master's program, I had an internship at Samsung Research, specifically within the Intelligent Security Lab, focusing on voice security applications.

I completed a research residency at the University of Toronto, where I worked under the supervision of Dr. Brokoslaw Laschowski and Dr. Alex Mihailidis on video classification models for exoskeleton control, resulting in three publications and state-of-the-art accuracy on the StairNet dataset.

Most recently, I collaborated with Dr. Inseung Kang from Carnegie Mellon University on computer vision-based transfer learning for real-time joint kinematics estimation using smartphone cameras with minimal data, enabling accurate exoskeleton control across novel users in clinical populations.

Outside of engineering, I am a robotics enthusiast. I spend my free time building FPV drones and miniature models, or walking my Beagle and Dachshund.