Frontend & UI/UX
Angular, React, HTML/CSS, JavaScript, UI/UX Design, Responsive Design, Figma
Münüre Ezgi ALTINTAŞ — Software Engineer & Researcher
About
Software Engineer graduated from Mehmet Akif Ersoy University with a B.Sc. in Software Engineering. Currently pursuing an M.Sc. in Software Engineering (thesis track) at the same institution. Experienced in full-stack development (.NET, Angular), UI/UX design, and AI-powered mobile applications. IEEE published author and national competition finalist (TEKNOFEST, TÜBİTAK).
Technical Skills
Backend & Frameworks
.NET / ASP.NET, C#, Spring Boot, Java, REST APIs
Languages & Data
Python, Java, C#, SQL, MySQL, PostgreSQL
DevOps & Tools
Docker, Kubernetes, Git, Linux
Featured Projects
BakteriCO — AI-Powered Bacterial Colony Detection
Mobile application using YOLOv5 for real-time bacterial colony detection achieving 96.1% mAP accuracy. Published on Google Play. Finalist: TEKNOFEST 2025, TÜBİTAK 2242, HAYTEKFEST 2025. Technologies: YOLOv5, Python, OpenCV, Flutter, TensorFlow Lite.
IoT-Based Smart Cane for the Visually Impaired
ESP32-powered assistive device with distance and humidity sensors, vibration motor alerts, and IoT connectivity. State-funded research (TÜBİTAK 2209-A). Project Lead role.
Professional Experience
Software Engineer — ARCA Software
July 2025 – Present. Full-stack development with .NET and Angular. UI/UX design and user experience optimization within an R&D-focused technology company.
Software Engineer (Long-Term Intern) — ARCA Software
February 2025 – June 2025. Application development with .NET and Angular, UI/UX best practices, Git version control.
Software Engineer Intern — TÜBİTAK BİLGEM YTE
July 2024 – August 2024. Training and project work with Java, Spring Boot, Kubernetes, Docker, React, and Microservices architecture.
Publications
YOLO-Based Counting of Small and Overlapping Bacterial Colonies: Performance Analysis and Real-Time Mobile Deployment
IEEE UBMK 2025 — 10th International Conference on Computer Science and Engineering. 96.1% mAP accuracy achieved across YOLOv3-Tiny, YOLOv7-Tiny, YOLOv5, and YOLOv8-Small benchmarks.
Comparative Analysis of LPWAN Technologies and Their Application Domains
Data Science Journal (Dergipark), October 2022. Survey of LoRa, Sigfox, and NB-IoT for IoT deployments.
Education
M.Sc. in Software Engineering (Thesis Track)
Mehmet Akif Ersoy University — September 2025 to Present
B.Sc. in Software Engineering
Mehmet Akif Ersoy University — September 2021 to June 2025. MAKUSE Research Group Member, IEEE MAKU Chapter Founding Member, Technical Project Leadership.
Contact
Email: mezgialtintas@gmail.com
LinkedIn: linkedin.com/in/munure-ezgi-altintas
GitHub: github.com/MEAltintas
ORCID: 0000-0001-8562-3175
Website: mezgialtintas.com.tr
Location: Ankara, Türkiye