Alexey Solovyov

Built the company's 3D and spatial-AI direction from scratch: set the technical strategy and architecture for a team of three engineers, and technically supervised a five-person external research team.

Reconstructed five districts of roughly 10 km² each, fusing satellite, drone and vehicle imagery with LiDAR and GNSS into one geo-aligned scene, rendered in real time with Gaussian splatting.

Developed an LLM-assisted product for building compliance checks, now entering initial client engagements in Saudi Arabia.

Led the in-vehicle driver monitoring system (Euro NCAP) for driver state and attention, from research to safety certification readiness.

Brought the full stack to real time on in-vehicle hardware: replaced stacked heatmap networks for head pose with 3D face-model regression on a lightweight CNN, an order of magnitude faster and more accurate on extreme poses, and heavy video models for action recognition with a few attention blocks over sparse-frame embeddings.

Rebuilt the bus passenger-counting system in roughly two months, raising throughput from under 1 to over 20 FPS on i.MX6 hardware at 90%+ counting accuracy. Trained a compact detector, implemented tracking and region-based counting, and optimised on-device inference.

Arrival on YouTube ↗

Built photo-editing features for Gradient, a consumer app with 50M+ users: hair recolouring, facial filters, and tools to remove backgrounds, objects and blemishes.

Optimised segmentation and generative models for mobile deployment. Prototyped generative image editing and identity-preserving appearance changes using photo-based 3D human reconstruction.

Before Gradient, at NIIAS, a MIPT computer vision lab: built a multi-task model for joint video reconstruction and segmentation.

Completed a Computer Science programme developed jointly with Yandex.

Co-created and taught machine learning, deep learning and computer vision courses for 100+ students (GoTo, MIPT).

Winner of the HSE Computer Science Olympiad and the All-Siberian Mathematical Olympiad.