Computer Vision
YOLOv3, YOLOv5, YOLOv7, YOLOv8, OpenCV, Image Processing, TensorFlow, PyTorch, ONNX Runtime
Muhsin DOLU — Software Engineer & AI Researcher
About
Software Engineer and AI Researcher. Faculty & Department Valedictorian from Mehmet Akif Ersoy University. Currently pursuing an M.Sc. in Software Engineering (thesis track) while working as a Lecturer at Ankara University and Software Engineer at Oruba Technology & Innovation (METU Technopark).
Specializing in Computer Vision (YOLO architectures), Natural Language Processing, LangChain, Retrieval-Augmented Generation (RAG), and full-stack infrastructure with Docker and Linux.
Technical Skills
NLP & Generative AI
LangChain, RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Hugging Face Transformers, Natural Language Processing
Languages & Core
Python, Java, C, SQL, JavaScript
Backend & Infrastructure
Docker, Linux, Traefik, Nginx, PostgreSQL, Git, CI/CD
Featured Projects
BakteriCO — AI-Powered Bacterial Colony Detection & Counting
Mobile application using YOLOv5 for real-time bacterial colony detection on agar plates. Achieved 96.1% mAP accuracy. Published on Google Play. Finalist in TEKNOFEST 2025, TÜBİTAK 2242, and HAYTEKFEST 2025. Technologies: YOLOv5, Python, OpenCV, Flutter, TensorFlow Lite.
Driver Fatigue Detection System
Real-time drowsiness detection system using ESP32-CAM and Raspberry Pi 4. Computer vision monitors driver eye state and triggers audible alerts. State-funded R&D project (TÜBİTAK 2209-A).
AI & LoRaWAN Smart Greenhouse Management
AI-driven decision support system for greenhouse climate control using LoRaWAN LPWAN technology. National Tech-Competition Finalist (TEKNOFEST 2023).
Professional Experience
Lecturer — Ankara University
September 2025 – Present. Teaching programming languages and database management courses.
Software Engineer — Oruba Technology & Innovation (METU Technopark)
May 2025 – Present. Building AI-driven healthcare applications with Docker, Linux infrastructure, and modern web technologies.
Software Engineer Intern (NLP Division) — Ministry of Interior, Republic of Türkiye
July 2024 – August 2024. National Internship Program. NLP research and development in the AI Unit.
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. Achieved 96.1% mAP accuracy.
Comparative Analysis of LPWAN Technologies and Their Application Domains
Data Science Journal (Dergipark), October 2022. Survey of LoRa, Sigfox, and NB-IoT technologies.
Education
M.Sc. in Software Engineering (Thesis Track)
Mehmet Akif Ersoy University — September 2025 to Present
B.Sc. in Software Engineering — Faculty & Department Valedictorian
Mehmet Akif Ersoy University — September 2021 to June 2025. Founder of MAKUSE Research Group, IEEE MAKU Chapter Founding Member, Faculty Student Representative, Quality Commission Chair.
Contact
Email: muhsindolu06@gmail.com
LinkedIn: linkedin.com/in/muhsin-dolu
GitHub: github.com/Muhsindl
ORCID: 0000-0002-1367-6400
Location: Ankara, Türkiye