The people who do the work

Vitaliy Pokrovskiy

AI Product Engineer

15+ years

Builds LLM, RAG and multi-agent systems from the research through to the operations around them, and designs the evaluation loops that decide whether one ships and where a person stays in. Came to AI from the geosciences, by way of a doctorate and a decade of founding and running companies.

Education

PhD in Geological & Mineralogical Sciences (TPU); MSc in Technological Entrepreneurship (MIPT, with honors)

Expertise

AI Product Management · Product Strategy · LLMOps · RAG · Evals · Multi-agent Systems · Systems Thinking

Key achievements

• —3rd place out of 155 teams in the ARLC 2026 warm-up phase, scoring 0.954/1.0, with an agentic RAG pipeline for legal AI
• —2nd place at The Money Agent Hackathon (Trustodian: an auditable on-chain agent with mandate enforcement)
• —1st place in the Serbian hub of the BitGN PAC personal AI agent challenge, an event with 800+ entrants overall
• —Founded and ran several companies, with teams of up to 300 contributors
• —50+ peer-reviewed papers, 11 indexed in Scopus (h-index 6), and a Russian Academy of Sciences medal

Sergey Arkhipov

LLM Researcher • Applied NLP • Software Engineering Leader

20+ years

Applies language models to telecom automation and geospatial systems — twenty years of software R&D on one side, research in distributed real-time computation on the other. Has been teaching and speaking publicly for sixteen of those years. Applied mathematics at MSIREA.

Education

Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University), Applied Mathematics

Expertise

LLM Research & Applied NLP · RAG / Retrieval & Evaluation · MLOps · Model Orchestration · Distributed Systems · Real-time Systems · Data Engineering · Data Pipelines · Systems Design

Key achievements

• —LLM work across two domains that rarely share engineers: telecom automation and GIS
• —Research in distributed real-time computation, applied to production system design
• —Sixteen years of teaching and conference speaking alongside the engineering work

Andrei Tereshchenko

AI Engineer & FullStack Software Developer

10+ years

Co-founded a studio of twenty-plus developers and still ships end to end: native and cross-platform mobile apps, web services on React, Django and Nest.js, all of it on Docker. Builds agentic workflows for small and mid-sized businesses, mostly around sales and lead handling.

Education

MSc in Computer Science

Expertise

AI Engineering · LLM/Agents · Machine Learning · Full-Stack (React, Django, Nest.js) · Mobile (iOS/Android) · Automation (n8n) · DevOps (Docker, CI/CD)

Key achievements

• —Founder & Engineering Lead at an IT agency with a team of 20+ developers
• —Top ten of 1,000 teams at the TON Hackathon, on NFT smart contracts, with a $10,000 team award
• —Shipped RAG and agentic pipelines for lead handling into live services
• —Trained and evaluated small models for applied tasks, then put them behind production services

Viktor Vialov

AI Researcher and Developer

8+ years

Manages anomaly detection and analysis at VAST Data. Before that led SPbU–Huawei research on out-of-distribution and few-shot classification, published at AISTATS 2022. Doctorate in mathematics and physics, on boundary regularity in magnetohydrodynamics.

Education

PhD Mathematics and Physics

Expertise

Machine Learning · AI · LLM · MLOps

Key achievements

• —Published an AISTATS 2022 paper on quadric hypersurface intersection
• —Leads a few-shot image classification research project
• —Authored PhD thesis on magnetohydrodynamics boundary regularity

Kseniia Nikitina

AI/ML Engineer • Data Scientist

5+ years

Machine learning engineer in computer vision and natural language processing, working on the part between a research result and something that runs in production. Five years in, with an MSc in computer science.

Education

MSc Computer Science

Expertise

Machine Learning · Deep Learning · Computer Vision · NLP · Python · TensorFlow

Yahor Kanchar

Business & Engineering Consulting

5+ years

Came to AI from reservoir engineering, by way of running IT projects. Works on the engineering side of a build: backend services, API design, and the Python around a model. BSc in computer science.

Education

BSc Computer Science

Expertise

AI Development · Software Engineering · Backend Development · API Design · Python · Machine Learning

Irina Nosal

AI Team Lead • NLP Engineer

15+ years

Leads AI teams building NLP, RAG and search systems, and has been doing engineering work of one kind or another for fifteen years. Doctorate from SPIIRAS in modelling and security; master's in information security, with honours.

Education

PhD Modeling and Security, St. Petersburg Institute for Informatics and Automation (SPIIRAS); MSc Information Security (with Honors), Syktyvkar State University

Expertise

NLP · LLMs · RAG · GPT · LangChain · Python · Data Science · Team Leadership

Key achievements

• —Led AI teams developing LLM-based solutions for blockchain ecosystem with $200M capital
• —Shipped a production nutrition-estimation chat agent with an expanded evaluation pipeline (LangSmith/Langfuse)
• —Built an expert-knowledge pipeline turning video content into structured fashion data with a labeled garment-image dataset
• —Published 8+ research papers with a Hirsch index of 4 in AI and security domains

Viktor Velichko

Machine Learning Engineer • Software Developer

13+ years

Works in computer vision, time-series analysis and generative models in Python, and writes C++ for CAD and BIM systems. Aerospace engineering degree, postgraduate physics and maths at IPME RAS, and the Yandex School of Data Analysis.

Education

Master in Aerospace Engineering, Baltic State Technical University; Post-Graduate in Physics and Maths, IPME RAS; Yandex School of Data Analysis

Expertise

Machine Learning · Computer Vision · NLP · Time Series Analysis · GANs · VAE · VLM · Python · TensorFlow · PyTorch · C++ · CUDA

Key achievements

• —Developed anomaly detection system for railway maintenance using time series analysis and YOLO-like neural networks
• —Enhanced BIM functionality in Intellicad 3D CAD system for construction industry
• —Conducted statistical analysis of lidar signal processing to optimize data acquisition and analysis