Responsibilities:

• Hiring the AI Research team
• AI Strategy
• Scaling ML infrastructure and environment

Technical Directions:

• Online Mapping
• Prediction and Planning
• End-to-end Autonomous Driving Systems
• Uncertainty and Robustness

Responsibilities:

• Managing and hiring the team of highly skilled diverse talents in ML (10+ FTEs, dotted line reports, consultants, interns)
• Internal cross-collaboration and ideas brainstorming with other Behavior and Perception teams
• Technical Roadmaps
• State-of-the-Art frontier research
• Academia collaboration

Technical Directions:

• Prediction (including conditional and joint), Planning (including Diffusion-based), and Motion Selection (RL-based)
• Closed-loop Reasoning
• Synthetic Data Generation
• Reward and Issue Predictor models
• Agent-centric and scene-centric encoders
• Scaling laws in Behavior
• Robustness and Uncertainty of Autonomy Stack
• LLM, VLM, Perception-Behavior interface

Other achievements:

• Internal FTEs ML education through a series of Deep Learning Theory lectures
• Main ideologist and program owner of Nuro ML University (100+ FTEs involved)
• Created Nuro Tech Talks series (top robotics researchers share their ideas for Nuro)
• Made SotA exploration a working internal pipeline
• Constantly increasing Nuro’s visibility (participation at conferences, workshops, seminars, etc)

Fusion Brain Research Director.

Responsibilities:

• Research roadmap formulation
• Research team hiring
• Leading the research team (6 people)
• Academia collaboration

Technical Directions:

• Multi-modality
• Multi-tasking
• Retrieval-based systems

Technical Lead and Research Manager.

Responsibilities:

• Video Intelligence direct management (~15 people, plus interns)
• Fundamental Research (~25 experts from different groups) team leadership
• Academia collaboration projects on Fundamental Research in AI
• Interviewing young talents
• Mentoring interns
• Remote work coordination

Technical Directions:

• Video Recognition and Retrieval (MML, MDMMT, top place on smth2smth)
• Trajectory Prediction (top places on Argoverse and Apolloscape benchmarks)
• Face Recognition (Detection and Identification)
• Domain Adaptation (computer vision)
• Multi-task end2end (keypoints, detection, segmentation)
• Storage (cold storage, erasure coding, object distribution, file type recognition with ML)
• NeuralNets for Computer Vision (Super Resolution, DeBlur, Compression)
• Robustness in DL
• Geometrical DL

Other achievements:

• Organized and maintained the Fundamental Research team (with publishing activity)
• Organized and initially led the first Neural Net direction at Huawei MRC
• Proposed and prepared the multi-year funding project Fundamental Research in AI at Huawei MRC

Engineering responsibilities:

• Media gateway (DSP for audio)
• WCDMA protocol (preamble detection)
• LDPC (trapping set analysis)
• Gesture recongintion (classical ML in CV)
• Flash controller (wear leveler, garbage collector)

Other achievements:

• 30+ patents on storage systems, ML and Computer Vision

Russian name - “Candidate of Physical and Mathematical Sciences”, defended at Lomonosov MSU, Department of Mechanics and Mathematics.

Dissertation “Bigram Languages”, major 01.01.09 - Discrete Mathematics and Mathematical Cybernetics. Abstract. Youtube recording (all links are in Russian).

Russian name - “specialist” (theoretical and applied mathematics), major in the discrete mathematics at Lomonosov MSU, Department of Mechanics and Mathematics.

Thesis “Dynamic adjustment of signals”. Incomplete (but the best that I could find) text (in Russian).

GPA 4.89/5, Diploma with honors.

High School, Briansk Pushkin’s Lycee, Physics and Mathematics major.

Gold medal.