I learned what doesn't work.
Then I built what does.
After years of leading AI and digital transformation initiatives across global organizations, I founded Science For People to prove one thing: AI is not magic. It is engineering. And engineering should be accessible to everyone.
The Problem I Saw
For years, I worked inside the machine: large corporations, global matrix structures, and boardrooms where AI strategy was either a buzzword on a slide or a black box nobody wanted to question.
I saw strong ideas die in procurement cycles. I watched budgets disappear into tools that nobody fully understood. I witnessed transformation programs that transformed nothing because they were designed for people, not with them.
"The gap wasn't in the technology. It was in the translation between what AI can do and what organizations need it to do."
The real problem was never the algorithm. It was bureaucracy pretending to be strategy, complexity pretending to be innovation, and a dangerous distance between the people building AI and the people expected to trust it.
Bureaucracy Over Innovation
Twelve-month procurement cycles for AI tools that were already outdated by the time deployment was approved.
Black-Box Thinking
"We have AI" sounded impressive, but almost nobody could explain what the system actually did or why it mattered.
People Left Behind
Too many tools were built for technical teams alone, while the operational teams who needed them most were excluded from the design.
Strategy Without Execution
Ambitious roadmaps looked great in workshops, then collapsed on first contact with production reality.
The Forge
So I did what engineers do: I went deep. From chemistry labs at Karolinska Institutet in Stockholm to production floors at LG Energy Solution in Wroclaw. From Six Sigma discipline to Stanford's probabilistic models. Every credential was shaped by real operational problems, not abstract branding.
Lean Six Sigma Black Belt
Process engineering discipline focused on systems that do not just work, but keep improving under pressure.
AI/DX Manager - LG Energy Solution
Leading enterprise AI implementation and Industry 4.0 transformation at factory scale.
Keynote - Inauguration Lecture
Explaining AI impact and strategic direction to academic leaders, operators, and technical audiences.
ITIL 4 Master & PRINCE2 Expert
Enterprise-grade delivery, governance, and service-management frameworks for large-scale execution.
Stanford & IBM Certifications
Advanced training in probabilistic modeling, data science, and scalable analytics systems.
Smart City Expert Panelist
Advising on urban AI, IoT integration, and public-sector technology strategy.
Digital Transformation in Action
Proof of Excellence
Certification | recognition | impact
EV Battery Technology
Industry 4.0
CyberScience Conference
Keynote
SkillSprint Program
Training
Innovation & Heritage
CultureFrom predictive-maintenance systems that saved millions in battery production to computer-vision deployments rolled out across multiple countries, every project reinforced the same lesson:
The technology works.
The challenge is making it accessible.
The Mission
Science For PeopleAI is not magic.
It is engineering.
And engineering should be accessible to everyone.
Demystify AI
Remove the hype. Replace magical thinking with engineering discipline. Show people exactly how AI works and why it matters in their role.
Empower Teams
Do not only deliver tools for people. Teach teams how to build, question, and improve their own AI workflows with confidence.
Engineer Results
No pilot purgatory and no AI theater. Every solution should reach production, connect to existing systems, and create measurable business value.
"Everything is possible. Not everything is economical."
Ready to build something that works?
Whether you need strategic AI consulting, hands-on engineering support, or a mentoring path for your team, let's start with a practical conversation.