Computer Engineer · AI Engineer Istanbul, Türkiye
I work on computer vision, applied AI, and backend systems. I enjoy technical problems that require building the evidence alongside the software: collecting data, designing evaluations, running experiments, measuring failure cases, and validating systems on real video.
- Best Applied Research Paper — IDAP 2026 M. F. Şen, H. Gümüşkaya, and S. Akalın, “A deployable dual-mode vision framework for adaptive intersection control and traffic analytics.”
- First-author paper accepted at IDAP 2026 S. Akalın and H. Gümüşkaya, “Computer vision-based detection of vehicles violating hatched road areas in Istanbul traffic.”
Both works are associated with the 10th International Artificial Intelligence and Data Processing Symposium, Istanbul, September 5–6, 2026. Extended journal manuscripts are in preparation for submission to Q1/Q2-indexed journals.
An end-to-end computer vision system for detecting vehicles entering hatched road areas in fixed-camera Istanbul traffic videos.
- Independently collected and annotated a dataset of 3,897 source frames and 9,353 exported images.
- Fine-tuned YOLOv8m, reaching 0.773 mAP50.
- Combined ByteTrack, polygon geometry, and multi-frame confirmation for spatial-temporal violation decisions.
- Evaluated the full system on 11 real traffic videos, achieving 0.889 precision, recall, and F1.
- Added severity scoring, evidence logging, and license-plate recognition in a Gradio interface; publicly released the dataset and code.
A shipped full-stack iOS application combining computer vision with a LangChain-based RAG pipeline to generate personalized readings from palm photos. Built with SwiftUI and a FastAPI backend, including authentication, rate limiting, and automated tests; deployed with Docker and Google Cloud Run.
- Software Engineering Intern — FEV Türkiye · Jan–Jun 2026 Developed Python/FastAPI services and REST diagnostic endpoints for the SOVD project delivered to Jaguar Land Rover / Tata, working with engineering teams in Germany and India.
- Java Backend Developer Intern — CodeFirst · Jan–Apr 2025 Developed Spring Boot microservice APIs with layered architecture, JWT authentication, and Spring Data JPA; used Git, Docker, Maven, Postman, and Swagger.
| Area | Technologies & methods |
|---|---|
| Programming | Python, Java |
| AI & Computer Vision | PyTorch, YOLOv8, ByteTrack, OpenCV, model training and evaluation |
| Data & Research | Dataset collection and annotation, Roboflow, quantitative evaluation, real-video field testing |
| Backend & Databases | FastAPI, Spring Boot, REST APIs, PostgreSQL, MySQL, JWT |
| Tools & Deployment | Git, Docker, GitHub Actions, Google Cloud Run, Postman, Swagger |
- İstanbul Arel University — B.Sc. in Computer Engineering (English), 2022–2026
- Associate Degree — Web Design and Coding, 2020–2022
Languages: Turkish (native), English (B2)