Vadim Vladymtsev
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Vadim Vladymtsev photo
Developer
Analyst
AI Researcher

Vadim Vladymtsev

Software architecture, LLM/RAG-based solution integration, business process automation, and educational IT systems. Experience in teaching and leading development teams.

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About

Engineer and researcher with experience in developing complex IT solutions for universities and companies: system architecture, data analysis, AI implementation, and process automation. Participated in the creation and development of educational IT systems and training teams in algorithmic programming.

Location: Minsk, Belarus
Roles: Lead Developer · ML / LLM Engineer · CTO

Key Competencies

  • LLM/RAG systems, document processing (PDF/DOC/HTML), OCR
  • Python (FastAPI), Elasticsearch, Requests, BeautifulSoup
  • Web and mobile applications: .NET MVC, Kotlin, Android
  • Integrations, ETL, project architecture, DevOps basics

Experience

STACKLEVEL GROUP — Developer, Analyst, AI Researcher (2025 — present)

  • Prototype of a recommendation system based on LLM for e-commerce (personalized product cards; FastAPI, prompt engineering).
  • Information extraction and summary generation system for heterogeneous documents using Elasticsearch and LLM (RAG approach, OCR).
  • LLM bot for financial analytics of companies based on open APIs.
  • FinTech Backend application tech audit (Java Spring, Apache), database and ETL optimization.

Focus: AI implementation without model retraining, architecture and integration.

Earlier

BSUIR — Software Engineer, Senior Lecturer (2019 — 2025)

  • Vehicle monitoring and diagnostics system (distributed storage, data protection, web/mobile interfaces, AI analytics).
  • Automated application and enrollment system (.NET MVC, scalable architecture, real-time statuses).
  • Life monitoring platform (web and mobile clients; analysis algorithms, MedTech patent).
  • Implemented automated code checking system; trained teams for olympiads and hackathons.

Selected Projects

  • LLM-based e-commerce personalization: dynamic hints and product cards to reduce support load and increase conversion.
  • Document-centric RAG system: search, extraction, and summarization for arrays of PDF/DOC/HTML/XML.
  • Financial analytics bot: automatic conclusions on company metrics, currency rates, and white papers.
  • Automated application and enrollment system for BSUIR: online admission, flexible exam formats, status tracking.
  • MedTech life monitoring: patented heart rate measurement algorithm and analytics.
  • Vehicle monitoring system: secure telemetry storage and efficiency dashboards.

Education

  • BSUIR — Master's, Information Systems and Technologies (2023 — present)
  • BSUIR — Bachelor's, Computer Science and Programming Technologies (2017 — 2021)

Languages

  • Russian — C2
  • Belarusian — C2
  • English — B2