CV

Experienced researcher and software engineer with a strong background in full-cycle software development, including design, coding, testing and deployment. Skilled in machine learning and coding, with a deep understanding of maths and physics. Committed to being part of a team that drives new discoveries and builds innovative technology. See also my projects.

Work experience

Team Lead, Metrology Department

Industrial 3D scanning manufacturer, Luxembourg · 06/2024 – present

• Lead the verification and certification programme for production 3D scanners, so that results are standards-driven, traceable and audit-ready (VDI/VDE 2634-3, ISO/IEC 17025).
• Build and maintain the internal metrology software stack in C++ and Python: automated processing, test parametrisation, and certificate and report generation.
• Lead cross-functional root-cause investigations of accuracy regressions with hypothesis-driven experiments (recalibration targets, focus and projection distance changes, optics prototypes), and turn the results into engineering decisions.
• Designed and ran repeatability and reproducibility studies: experimental planning, automated data capture, statistical variance decomposition and formal validation reports.
• Developed point-cloud and geometric analysis tools that speed up investigations and make measurements more robust.
• Own metrology end to end: fixtures and experimental setups, automated capture with robots and stands, analysis, and documented conformance procedures.
• Day-to-day engineering leadership: planning, PR reviews, mentoring and QMS documentation.

Independent AI / ML Consultant (part-time)

05/2024 – present

• Designed automated AI pipelines with LangChain, LlamaIndex, n8n and FastAPI, integrating LLM-based systems into business processes and engineering workflows, including CI/CD.
• Architected multi-agent systems with structured roles (planner / executor / critic) and retrieval-augmented generation, connected to external APIs, CRM and ERP systems.
• Built AI-augmented development pipelines with LLM agents for code review, specification drafting, automated testing, documentation and refactoring.
• Delivered applied ML in computer vision and audio: segmentation, feature extraction, classification, detection, and environment-adaptive voice activity detection (VAD).
• Built LLM assistants for Telegram and WhatsApp and enterprise knowledge systems with scalable RAG architectures.

Principal ML Engineer

Confidential XR/AI startup, remote · 10/2023 – 05/2024

• Designed and built the full AI and voice interaction pipeline for real-time NPCs in immersive VR, with conversational latency under 500 ms.
• Implemented the distributed backend: adaptive VAD, LLM-based dialogue orchestration and a procedural quest generation engine.
• Owned model selection, orchestration logic, latency optimisation and deployment strategy across model layer, retrieval, backend services and cloud.

Researcher & Software Engineer

Aston Institute of Photonic Technologies, Birmingham, UK · 10/2020 – 05/2024

• Developed hpcom, an open-source simulation library for optical signal transmission with speed-ups of up to 2000×.
• Built a data platform for optical-communication machine learning that generates over 1,000,000 data points per minute and supports several research projects.
• Built a machine learning platform that roughly doubled the efficiency of long-distance optical transmission in simulation.
• Contributed to a new software model for improving optical communication systems.
• Supervised several Master’s students on research projects.
• Delivered 100+ hours of practical classes in digital signal processing, Python and mathematics for Bachelor students.

Visiting Researcher & Software Engineer (collaboration)

Huawei, Moscow, Russia · 02/2021 – 05/2023

• Built a data processing platform in Python on top of optimised C++ libraries, a 60× speed-up that cut computation from weeks to hours.
• Developed and validated physics-informed signal processing and machine learning methods for transmission over distances of up to 2000 km, with up to a 10× performance gain in some systems.
• Streamlined code and data management, which shortened software deployment time.

Researcher & Software Engineer

Nonlinear Photonics Laboratory, Novosibirsk, Russia · 09/2016 – 05/2022

• Led a team of 6 scientists and engineers through a 2-year collaboration with a corporate partner.
• Developed software for analysing complex data in long-distance communication systems (125% system performance improvement).
• Developed methods for analysing optical channel dynamics: 3× faster computation and up to 4× better reconstruction accuracy than earlier techniques.
• Research on optical signal characteristics led to two publications and presentations at five major conferences.

Teaching Assistant (part-time)

Novosibirsk State University, Russia · 08/2019 – 07/2020

• Practical classes in mathematical analysis and computational physics for Bachelor students.

Research Internship

Argon, Paris, France · 11/2018 – 02/2019

• Built a reinforcement-learning algorithm that improved supply-chain performance in simulation, and a web platform to demonstrate it.

Research Internship

Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany · 06/2016 – 09/2016

• Developed multidimensional parameter optimisation for calibrating the Central Drift Chamber of the Belle II experiment, improving track reconstruction accuracy and resolution.

Research Internship

Budker Institute of Nuclear Physics, Novosibirsk, Russia · 07/2013 – 08/2016

• Studied the radiation hardness of scintillation crystals for the Belle II calorimeter and built an automated measurement setup (published).

Education

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

Skills

• Software development: C, C++, Python, Docker, Git, Linux, distributed systems, HPC (CUDA, OpenMP, MPI), CI/CD, code review, full SDLC
• Machine learning and AI: PyTorch, TensorFlow, JAX, scikit-learn, LLM systems, RAG, multi-agent architectures, computer vision, audio processing, numerical methods, physics simulation
• AI tooling: LangChain, LlamaIndex, FastAPI, n8n, prompt engineering, AI-augmented SDLC
• Hardware and metrology: 3D scanning, 3D printing, CATIA, SolidWorks, mechanical prototyping
• Languages: English (fluent), Russian (native), French (working proficiency)

Awards

• Scholarship for Abroad Studies, Ministry of Science and Higher Education of the Russian Federation (2020, 2021)
• Hackathon winner, TensorHack (2019)
• Erasmus+ scholarship (2018); French Government scholarship (2017)
• BP scholarship (2014, 2015); PricewaterhouseCoopers scholarship (2013)

Publications and talks

• Publications: journal articles, conference papers, theses and preprints. Also on Google Scholar and ORCID.
• Talks: conference talks and posters.