Hey, I’m Hasan Open to work
I focus on computer vision and applied AI — designing, training, and deploying deep-learning systems that hold up in real-world conditions.
I most recently spent over a year as an AI engineer at AYGAZ (Koç Group), shipping production vision systems — from real-time monitoring and inspection to AI-assisted data pipelines.
Before that, I built autonomous UAV systems as a two-time TEKNOFEST finalist, published IEEE research, shipped a TÜBİTAK-funded IoT product, and joined a NASA Space Apps global-nominee team.
I care about clean architecture, measurable performance, and systems that survive contact with production — on the edge as well as in the cloud.
Contact meIEEE 2024 published · NASA Space Apps — Global Nominee · Open to full-time CV / AI roles
Selected work I’ve taken on — sports analytics, IoT hydration, and two autonomous UAV inspection projects. All run in real time, on real hardware.
Multi-modal sports analytics: player detection, persistent tracking, jersey-number OCR, pose estimation, instance segmentation, and bird’s-eye-view homography — accelerated with ONNX / TensorRT for real-time inference.
RF-DETR · ByteTrack · PARSeq · YOLO-Pose · SAM + Cutie · TensorRT
Top-down drone imagery through a YOLO detector that localizes panels and flags dust, soiling, cracks and bird droppings — for real-time panel-health analytics on embedded hardware.
YOLOv8/v5 · Defect Detection · UAV · Raspberry Pi
Onboard air-to-air detection: a real-time YOLO model locks onto rival aircraft from the drone’s own camera under fast motion and cluttered terrain — trained on Roboflow data, deployed on Raspberry Pi.
YOLO · Roboflow · Raspberry Pi · Real-time
TÜBİTAK 2209-A funded IoT smart bottle: custom capacitive level sensor, IMU-based drinking-gesture recognition, offline SD logging, BLE-to-Firebase sync via a Flutter app, and a GPT-4o-mini coach for personalized hydration.
ESP32 · BLE · C++ · Flutter · Firebase · GPT-4o-mini
Bottle
ESP32 base
Flutter app
Hydra AIIndustry, competition, and education — the short version. Full details are in my resume.
Dec 2024 – Feb 2026
AYGAZ
AYGAZ (Koç Group) — Istanbul · Long Term Intern
2025
NASA Space Apps
Competition
SHIFT Team — seismic dashboard · Local 2nd place
Oct – Nov 2024
AISOFT
AISOFT — Sakarya · TÜBİTAK-supported stitching project
2023 – 2024
TEKNOFEST
Competition
Dual-UAV autonomous solar-farm inspection
2023 – 2024
TEKNOFEST
Competition
Autonomous air-to-air target detection
2022 – 2026
Sakarya University
Education
Sakarya University — GPA 3.02 / 4.00
Papers and writing — things worth keeping.
UAV-based YOLOv8 system for real-time pallet tracking and counting in warehouse and logistics environments.
Zero-shot labeling strategies for industrial inspection — cutting manual annotation cost with pseudo-labeling.
The toolbox I reach for.
Python, C++, C, SQL, Java
YOLOv8/v11, RF-DETR, ByteTrack, U-Net, SAM, YOLO-Pose, OCR
PyTorch, TensorFlow, Scikit-learn, LightGBM, LLaMA, Mistral, RAG, LangChain
FastAPI, Docker, ONNX, TensorRT, Git, Azure DevOps, Firebase
OpenCV, NumPy, Pandas, Ultralytics, Roboflow, Linux
ESP32, BLE, IMU, Flutter · Turkish (Native), English (B2)
Let’s build something that runs in real time.
I’m open to full-time Computer Vision / AI and MLOps roles in Turkey and internationally. Fastest way to reach me is email — I usually reply within a day.