About me

Hi, and thank you for visiting my personal webpage!

I’m a machine learning researcher and software engineer with a PhD from Aston University, based in Luxembourg. I currently lead the Metrology Department at an industrial 3D-scanner manufacturer, where I build the verification and certification tooling behind production scanners. Alongside that I work as an independent AI/ML consultant, building LLM agents, retrieval systems and voice interfaces.

Before that I worked in research for about eight years, first in Novosibirsk and then at the Aston Institute of Photonic Technologies, working on nonlinear signal processing and machine learning for fibre-optic communications. That work is described on the publications and talks pages.

If you are looking for technical guidance, a collaborator, or someone to build an AI or measurement system, you are welcome to reach out through the links in the sidebar.

Where to look next

  • CV: full work history, education, skills, awards, publications and talks
  • Projects: open-source libraries and applied AI / measurement work
  • Publications and Talks: journal and conference papers on optical communications and machine learning

What I work on

Metrology and 3D scanning
I lead verification and certification of production 3D scanners against standards such as VDI/VDE 2634-3 and ISO/IEC 17025. That covers the C++/Python software stack for automated processing and report generation, repeatability and reproducibility studies, root-cause investigations of accuracy regressions, and point-cloud and geometric analysis tools.

AI agents and LLM systems
Multi-agent systems (planner / executor / critic), retrieval-augmented generation, and AI-augmented development workflows for code review, specifications and testing, built with tools such as LangChain, LlamaIndex, n8n and FastAPI. I have also built LLM assistants for messaging platforms and enterprise knowledge bases.

Voice and real-time interaction
End-to-end conversational pipelines combining speech recognition, synthesis and environment-adaptive voice activity detection. I designed the AI and voice stack for real-time NPCs in immersive VR, running at under 500 ms latency.

Computer vision and audio ML
Segmentation, detection, classification and feature extraction for applied problems, including photometric camera and lens models.

Optical communications research
My PhD work covered the Nonlinear Fourier Transform (NFT) for signal transmission and restoration in long-haul fibre systems, neural networks as fast alternatives to numerical NFT, and gradient-boosting and forest-based equalisers for coherent transmission. I also wrote hpcom, a GPU-accelerated fibre-link simulator.

Education

  • PhD in Machine Learning for Optical Communication, Aston University, UK
  • PhD in Advanced Theory of Optical Communication, Novosibirsk State University, Russia (incomplete)
  • Engineering degree in Mechanical Engineering and Materials Science, École des Ponts ParisTech, France
  • Master’s degree with honours in Quantum Optics, Novosibirsk State University, Russia
  • Bachelor’s degree with honours in High Energy Physics, Novosibirsk State University, Russia