The Academic Journey
Four degrees across Computer Science, Psychology, Psychoanalysis, and AI — how multidisciplinary thinking shapes my engineering.
My academic journey spans four degrees across three disciplines — Computer Science, Psychology, and Artificial Intelligence. Each one reshaped how I think about building software that works for real people.
This multidisciplinary path means I don't just build systems that work — I build systems that work for people.
Academic Timeline
Computer Science
Where it all started. I learned algorithms, data structures, object-oriented programming, and systems architecture. This foundation gave me the engineering discipline that drives everything I build today.
Psychology
Three years studying cognitive processes, perception, and human behavior. I learned how people actually think, process information, and make decisions — insights that directly inform how I design user experiences and error handling.
Psychoanalysis
A deep dive into unconscious motivation, defense mechanisms, and behavioral patterns. This taught me to look beyond surface-level user feedback and understand the real reasons people struggle with software.
Artificial Intelligence
Currently bridging both worlds — combining my engineering background with behavioral science to build AI systems that understand human context, not just data patterns.
How It Applies
In practice, this means I approach UX decisions with an evidence base. I think about error messages through the lens of stress psychology. I design onboarding flows knowing how working memory actually functions. And when I built an AI assistant for 10,000 enterprise employees, I didn't just optimize the code — I optimized the interaction patterns so people would actually use it.
Interested in working together?
Whether you need a .NET specialist, a full-stack consultant, or someone who understands both the code and the people behind it — let's talk.