Computer Science began
I laid the foundation at Dokuz Eylül University; this is where my interest in algorithms, software engineering and product development became clear.
Academic journey
What I learned beyond school while shipping products and building communities.
university start
English preparation
TÜBİTAK research project
student community member
Scroll through the story
Six stops where theory, people and production gradually came together.
I laid the foundation at Dokuz Eylül University; this is where my interest in algorithms, software engineering and product development became clear.
I learned that technical growth does not happen through classes alone; bringing people together makes everyone grow much faster.
In president and corporate relations roles, I managed partner relationships, sponsorships and career events.
As a co-founder, I was part of 60+ technology events that reached more than 2,500 participants.
With Sano AI, Revna and chat.sanoapp.ai, the work left localhost and reached real users.
I keep combining mobile, backend, billing infrastructure and AI in one product mind.
Academic focus
Instead of publishing every course on a transcript, I group the curriculum into the three areas that most shaped how I build.
Breaking complex systems into structures, constraints and algorithms before implementation.
Working with uncertain, multi-variable problems through statistics, optimisation and scoring methods.
Turning theory into interfaces, services and reliable systems that can be tested and operated.
TÜBİTAK 2209-A · 2023/2
A personalised student dormitory decision support system
Students were losing time across outdated websites, conflicting comments and choices that were difficult to compare. As a team, we built a mobile product that ranks dormitories according to each student's priorities instead of presenting the same list to everyone.
Four-person research and product team · Academic advisor: Prof. Dr. Efendi Nasiboğlu
students surveyed
data variables
core criteria
single codebase
Dormify
We surveyed nearly 200 university students to understand the factors that most influence dormitory choice.
We combined web scraping with direct research and calls to fill gaps and structure a 21-variable dataset.
Haversine distance, min-max normalisation and the Simple Additive Weighting method produced a personalised score.
We brought the model into a cross-platform flow with preferences, ranked results, maps, favourites and dormitory details.
Beyond the classroom
2023 — 2024
Founding member · President / Corporate Relations
I helped establish the community and worked on the less visible infrastructure that keeps one alive: partner relationships, sponsorship conversations, career events and bringing students together around technology.
What it became
That academic foundation now shows up in how I design mobile products, model backend flows and make technical decisions.