Expert · Speaker · Technical Auditor
Public expertise backed by shipped AI products.
I speak, comment and advise on the practical side of AI adoption: how organisations move from demos to deployment, where governance becomes part of the product, and why technical judgment matters when AI enters real business.
Areas of expertise.
Enterprise AI adoption
How companies move from scattered pilots to controlled AI systems.
AI governance and risk
Why LLMOps, auditability, red-teaming and model risk become operating requirements.
Private AI platforms
How assistants, workflows, documents, data access and deployment control become an enterprise AI layer.
AI product strategy
How to separate impressive demos from products that survive real users, security and scale.
Technical diligence
How investors and executives can evaluate architecture, data position, team quality and execution risk.
Engineering talent and education
What teaching, ICPC coaching and engineering education reveal about building strong technical teams.
Public signals.
Media commentary
New AI roles
Cited as CTO of STACKLEVEL GROUP on emerging AI roles, LLMOps/MLOps, AI governance, model risk and red-teaming.
Author / publication
Escaping pilot hell
Author profile and publication on enterprise AI adoption, why pilots fail and how to reach production.
Talk · community
M.AI.N AI Community
Spoke as CTO of StackLevel Group on practical AI tools for business and real adoption.
Panel · presidium
IT-Security / SecureIT
Took part as a StackLevel Group representative in a security and IT discussion context.
Product
Century AI Studio
Creator, Co-Founder and CTO — enterprise AI Studio for assistants, workflows, data access, auditability and deployment control.
Century →Signature topics.
From AI pilots to production
Why pilots fail, and what has to be true before AI enters real operations.
AI governance inside the product
How access, audit, evaluation and ownership become product requirements.
The new AI roles inside companies
What GenAI Product Owners, LLMOps, AI Governance and AI Evaluators actually do.
Private AI as a product strategy
Why models and compute are infrastructure, and where the product boundary begins.
How to evaluate an AI company
A diligence framework for product reality, architecture, data and execution.
Teaching engineers for the AI era
What competitive programming, university teaching and product work reveal about durable technical talent.
Media kit.
Short bio
Vadim Vladymtsev is the Creator, Co-Founder and CTO of Century, and CTO / R&D Director at StackLevel Group. He works at the intersection of enterprise AI, R&D, product architecture and engineering education. His work spans private AI platforms, AI governance, LLM/RAG systems, workflow automation, teaching, ICPC coaching and technical diligence.
Long bio
Vadim Vladymtsev is the Creator, Co-Founder and CTO of Century AI Studio and CTO / R&D Director at StackLevel Group. He builds AI products and engineering teams for serious environments — where trust, execution and product judgment matter as much as the model. His background combines university teaching, ICPC coaching, large-scale programming education, research, product architecture and enterprise AI implementation. He has taught 700+ university students, reached 4,700+ online learners through Stepik, coached 200+ competitive programming teams and now leads AI product work for banks, fintech, investment companies and international corporations.
Kit essentials
Need a clear technical voice on enterprise AI?
Send the topic, format, audience and decision your audience needs to make. I am most useful when the conversation is about AI moving from theory into operations.