Senior ML fullstack developer

На данный момент Senior ML fullstack developer.

Мои компетенции и опыт

With over 10 years of experience in the fields of computer vision, machine learning and natural language processing I bring a unique blend of technical expertise, leadership and innovation to drive cutting-edge solution from concept to production. My career has been marked by successful contributions to both academic research (PhD) and industrial projects, where I have consistently delivered high-impact results that enhance user engagement, improve operational efficiency, and reduce costs.

CAREER

Huawei Research Center (SPBRC): Key projects engineer, March 2022 – June 2025

3D GenAI for Cloud Gaming – creating new and adopting SOTA technologies for Cloud Gaming department: 

 - Conducted research on diffusion models for generative tasks, contributing to cutting-edge AI advancements — new technology was developed for controlled high-quality diffusion-based 3D generation;

 - Technologies overview for 3D generation;

 - Gathering requirements and presenting results to the stakeholders.

RAG for internal purposes – indexing and advanced search over a pile of internal documents:

 - Optimizing embedder, chunker, LLM finetuning & quantization for thousands documents scale RAG system.

Managing a group of 16 developers and researchers.

Intellectstack Ltd. CTO, founder, April 2020 – December 2023

Various projects for commercial customers:

 - Leading a group of engineers, gathering requirements and presenting results to the stakeholders, full cycle development;

Activetest Group Ltd. Deputy Technical Director, June 2020 – March 2022

Management of software development processes for machine control, data acquisition and processing, visualization, and report generation;

Implemented a custom conditioned U-Net architecture for synthetic image generation for defects segmentation tasks, improving precision up to 99.5% ;

Protei STC Ltd. Tech lead, June 2014 – September 2019

Computer vision for Safe City Project:

 - The developed system is characterized by low requirements for existing video equipment and high ease of configuration, while maintaining high recognition quality.

 - Easy integration into the existing infrastructure allowed the customer to achieve their goals, significantly saving on the cost of system implementation.

 - Video analysis of road conditions, detection of traffic violations 

 - The use of modern methods made it possible to achieve the required quality of detection and tracking on server systems optimized with OpenVINO without the use of GPUs, which reduced the cost of the solutions provided to the customer.

Call center usage forecast:

 - The solution enabled the customer to reduce the number of simultaneously working operators while maintaining the required level of service, thereby lowering costs.

Planning, development, testing and maintenance of a fully automated multi-camera system for industrial video analytics:

 - High-load system of ~5000 cameras (~300 per server);

 - Sparse video stream: The analytics do not process a continuous video stream but instead work with individual frames requested at intervals, significantly reducing network bandwidth and server requirements.

Texas A&M University. USA: PostDoc, August 2012 – December 2013

Computer simulation of physical processes, programming of Varian spectrometers, overexpression, isolation, purification, and crystallization of proteins.

Miami University. USA: PostDoc, November 2009 – August 2012

Development of a new method for measuring the depth of insertion and position of proteins in a lipid membrane using solid-state NMR (paramagnetic relaxation effect) and controlled

incorporation of a spin label into the protein.

University of Southampton, UK: PostDoc, October 2007 – October 2009

Programming of Bruker and Varian spectrometers, working with experimental samples using cryogenic MAS technology, NMR of proteins, computer simulation of spin dynamics in

SIMPSON.

Bundesanstalt für Materialforschung und - prüfung (BAM), Berlin, Germany: PhD, September 2004 – September 2007

Study of biomineralization processes in bones and nacre. The key role of chondroitin sulfate in the biomineralization of calcium phosphates in bones has been discovered.

EDUCATION, DIPLOMA AND ACHIEVEMENTS

2008 Leipzig Universität, Leipzig, Deutschland

PhD: Physik und Geowissenschaften, Physics

2004 Saint-Petersburg State Polytechnical University

Master: Physics&Mechanics department, Experimental nuclear physics

2021 City Business School - MBA General Intensive

2015 Nvidia CUDA programming

2013 Learning from Data, Caltech, ML

2013 Web Development, Udacity, Web programming

2013 Machine Learning (Andrew Ng) Coursera

2013 Hadoop and MapReduce, Udacity, BigData

2013 Databases, Coursera / Stanford

2011 AI course (Sebastian Thrun) Udacity

13 PUBLICATIONS (provided by request)