About Me
As a PhD candidate at Skoltech and Invited Researcher at Hong Kong PolyU, I am pioneering the development of intelligent autonomous systems that bridge the gap between natural language understanding and robotic action. My research focuses on creating advanced AI systems that can:
- Understand and Execute Complex Missions: Developing Vision-Language-Action (VLA) systems that enable UAVs to interpret natural language commands and translate them into precise actions.
- Innovate in Multi-Agent Systems: Creating scalable solutions for UAV mission planning using cutting-edge LLM/VLM technologies and multi-agent frameworks.
- Advance Autonomous Navigation: Implementing novel path-planning algorithms that combine visual understanding with efficient route optimization.
My work spans the intersection of robotics, computer vision, and artificial intelligence, with a particular emphasis on developing practical solutions for real-world autonomous systems. Through my research at both Skoltech and Hong Kong PolyU, I'm contributing to the next generation of intelligent robotic systems that can seamlessly interact with humans and their environment.
Experience
Current Positions
Invited Researcher - Hong Kong PolyU (2025-Present)
PhD Candidate - Skoltech (2023-Present)
Previous Positions
- Research Assistant - Skoltech (2022-2023)
- Software Intern - Native Robotics (2021)
- Mechanical Engineer - SmirnovDesign (2019-2020)
Technical Skills
AI & ML
- LangChain & LangGraph
- LLM Finetuning & RAG
- PyTorch
- Computer Vision (OpenCV + DNN)
- Deep Learning
- Multi-Agent Systems
- SmolAgents & ReAct
Robotics
- Ardupilot/MAVLink
- Robot Motion Planning
- Simulation (AirSim)
Programming
- Python (Advanced)
- MATLAB/Simulink
- Linux/Git
- API Development