Vladimir Tsekh

AI/ML • 26 years • Moscow, Russia • UTC+03:00 • Work permits: Russia • English: C1 • Available in 1 week
AI Engineer
4+ years exp
4+ years ML exp
JavaScript
SQL
Python
TypeScript
Active 16 days ago
+7 (906) 6102383
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Overview
Technical skills
Timeline
Roles

Overview

Technical Product Manager focused on designing AI products and internal tooling. Builds MVPs and automation pipelines using Python and TypeScript with Gemini on GCP, including RAG, multimodal LLM workflows, and document processing. Has hands-on experience implementing multi-agent systems, MCP integration, and AI-assisted education and automation via Telegram bots.

Technical skills

JavaScript
SQL
Python• Senior • 4y+
TypeScript• Middle
Python
aiogram
Databases
SQLite• 3y+
AI/ML
AI Agents
Computer Vision
Streamlit
Vertex AI
LLM• 4y+
Gemini• 3y+
Embeddings
LangChain
LangGraph
Model Context Protocol
Multimodal AI
NLP
RAG
Frontend
D3.js
Vite
DevOps
Git
Rest API
GCP• 3y+
Docker

Timeline

Lecturer / Methodist • Middle
Higher School of Economics / Southern Federal University • Part-Time
Jan 2023 to Present 3 Years 7 Months Moscow In office
Developed an AI-driven Telegram study assistant using Gemini (Vertex AI) with local storage to automate training for oral exams and homework checking. Implemented prompt-based evaluation with detailed grading rubrics for a large student cohort, reducing manual grading effort. Coordinated teaching staff and supported the development and defense of course and thesis projects.
Geminisince 2023
GCPsince 2023
SQLite
Python
AI Product Lead / Technical Product Manager • Lead
Project Zhizn (Genealogical Center) • Full-Time
Nov 2024 to Present 1 Year 9 Months Moscow In office
Led the design and rollout of AI-assisted workflows for a genealogical research team, improving research process efficiency and eliminating backlog. Architected and implemented a multi-agent automation pipeline using LangChain/LangGraph with Gemini, including MCP integration for office-document review and formatting. Built end-to-end LLM pipelines for report drafting from GEDCOM and created a RAG knowledge platform, deploying infrastructure with Docker and improving preparation time substantially.
LangChain
LangGraph
Gemini
LLM
Model Context Protocol
Docker
GCP
RAG
Embeddings
Multimodal AI
Python
TypeScript
Vite
D3.js
National Research University Higher School of Economics
Master's Degree • Digital Analytics of Social Processes
2022–2024 Moscow, Russia
Regional Expert (Middle East) / Analyst • Middle
Semantic Hub • Full-Time
Jan 2022 to Aug 2024 2 Years 7 Months In office
Searched for pharma stakeholders and identified patient communities by rare diseases across the Middle East. Built a Python LinkedIn profile parser and integrated GPT-based automation to draft personalized outreach messages, improving response and call conversion. Also integrated early LLM usage to automate English and Arabic SMM content generation on LinkedIn for company promotion.
Pythonsince 2022
LLMsince 2022