I'm currently a Master of Science Student at Sabancı University and the Founder of Flio.ai, a startup focused on solving complex logistics problems. I previously worked as an Algorithm Engineer at Getir, where I developed micro-services and business logic algorithms for efficient order delivery.
As a computer scientist and industrial engineer, I specialize in developing algorithms, mobile applications, web, and back-end projects. I have comprehensive skills in data structures, algorithms, vehicle routing problems, optimization, software development, and team management. My passion lies in creating efficient solutions that meet complex business requirements.
When I'm not coding or researching, I'm likely exploring new technologies, contributing to open-source projects, or expanding my knowledge in industrial engineering and optimization techniques.
• Under the supervision of Prof. Dr. Burak Kocuk and within the scope of Sabancı PURE program, optimized the reflectivity of a metallic substrate by carefully selecting and layering dielectric materials.
• Created a producable thin film with a reflectance level of 99.8% in the visible light wavelength range using mixed‐integer nonlinear programming techniques.
• Graduation project under Prof. Dr. Bülent Çatay developing a Vehicle Routing Problem (VRP) solution for E-Bebek Company.
• Reduced costs by 20% ($150K/year) through optimized route planning and visualization.
• Led development of a furniture e-commerce mobile application using Flutter.
• Managed mobile team and developed backend services using FastAPI, PostgreSQL, Redis, and Docker.
• Used Jira and Bitbucket for project management.
• Developed a social media platform with features like user authentication, friend management, post sharing, and profile analytics.
• Implemented using Express.js and Node.js, deployed on Google Cloud Platform with MongoDB Atlas.
• Featured CI/CD with GitHub Actions and infrastructure as code using Terraform.
• This project examines and tries to predict the effect of some factors such as age, gender, genetic predisposition, place of birth on heart diseases.
• Used a large dataset and Python under the Introduction to Data Analysis Course.
• Developed a mobile application for Sabancı University students to create class schedules with an intuitive interface.
• Published on Google Play Store and App Store, reaching 2000+ downloads with 4.9/5 rating.
• Developed under Prof. Dr. Hüsnü Yenigün, created an algorithm to collect and analyze prerequisites for Sabancı University courses.
• Built visualization tools using JavaScript and Python Flask.
• Created a location-based alarm application using React Native and Firebase.
• Published on Google Play Store and App Store, achieving 1000+ downloads with 4.8/5 rating.
• Features include location tracking and distance-based alerts.