
2 to 3 Weeks
A machine-learning platform that forecasts injury risk for professional football players—helping performance staff prevent injuries.
Read project deep dive ↗React · Python · FastAPI · Supabase
About Me
(A little context)I'm studying Computer and Information Science at KTH Royal Institute of Technology. My interests span software development, database design, data-driven products, and physical prototypes.
Outside my studies, I'm usually making something—building practical things around the house, sewing, or cooking. I enjoy turning ideas and everyday needs into tangible results.
Professionally, I want to work in MedTech and help create solutions that detect and diagnose diseases earlier. I'm looking for a place where I can learn quickly, grow, and turn what I learn into meaningful impact.
When I meet something I don't yet know how to do, I don't stop at “I can't.” I research, learn, sketch, plan, and keep going until I can build it. I learn fast, take initiative, and intend to become a genuinely valuable part of the team I join.
Java
Python
TypeScript
C
SQL & database design
Embedded systems
Selected work
(04)Digital products, data & web

A machine-learning platform that forecasts injury risk for professional football players—helping performance staff prevent injuries.
Read project deep dive ↗React · Python · FastAPI · Supabase

A responsive single-page portfolio built to present projects, technical strengths, and contact routes through a clear, lightweight experience.
HTML · CSS · JavaScript · GitHub Pages

A startup website redesign that sharpens the visual hierarchy and presents Figura Labs’ fashion-ecommerce decision platform through a clearer, more confident experience.
Website redesign · Startup collaboration
Embedded systems & prototypes

A complete embedded intersection controller with pedestrian requests, car detection, coordinated traffic states, OLED countdown feedback, and adjustable LED brightness.
STM32 · C · HAL · SPI + PWM