Darya
Danilina
I study how people think, learn, and grow — and how technology can support that journey.
My focus is the intersection of human behavior, AI systems, and the way we collaborate with intelligent tools.
DARYADAN'S METHOD
How I Connect Psychology, Tech, and Real Life
1
Psychology of Learning
I explore how people understand complex things: why some explanations work and others don’t, how attention shifts, and how confidence grows over time. I write short notes about curiosity, motivation, and what helps us keep going when something feels “too hard”. For me, learning is not only about information — it’s also about the emotions and stories behind it.
2
Human-Friendly QA
As a junior QA for MARVEN, I test not only how features work, but how they feel for a real user. I pay attention to where people get stuck, where they react faster than expected, and where the interface “feels right” or “feels off”. My goal is to help build systems that respect human psychology, reduce stress, and make complex tools easier to use.
3
Sports, Focus & Resilience
In fencing and roller hockey I practice a different side of psychology: reaction, patience, reading opponents, and staying calm under pressure. Sports teach me how emotions affect decisions in real time — when you have only a second to choose. I bring these lessons back into my learning and tech projects, because focus and resilience matter just as much as knowledge.
Exploring How Minds and Systems Work Together
i’m Darya — a student who genuinely loves learning about both people and systems.
On one side, I’m fascinated by psychology: how we think, why we act the way we do, how motivation, stress, and decisions really work.
On the other side, I love engineering and tech: logic, patterns, structure, and tools that help people learn and grow.
When I test MARVEN as a junior QA, I don’t just look for bugs — I watch how a real person would feel in the system.
Where is it confusing? Where does it feel natural? Where does it reduce stress instead of adding it?
I bring the same mindset into my Python mini-labs, my notes on the psychology of learning, and even into sports like fencing and roller hockey.
For me, the most interesting part is always the same: how human psychology matches — or clashes with — engineering logic.