Yusuf Oğuzay Bilir
@yusufouzaybilir
I build GeoAI, computer vision, and autonomous systems for real-world imagery.
What I'm looking for
At Agrovech, I develop GeoAI and computer-vision solutions for satellite and aerial imagery, spanning object detection, segmentation, classification, GIS integration, and crop-mapping capabilities. I fine-tuned NVIDIA LocateAnything-3B with LoRA on a single RTX 3090, resolved training instabilities, and delivered full-stack internal product features.
I've led GAIATECH/ASGAIA's TEKNOFEST Robotaxi software team, architecting perception, localization, mapping, planning, and control systems with ROS2, C++, and Python. As the 2023 TEKNOFEST AI in Transportation national champion, I also build open-source tooling for annotation conversion, TensorRT-optimized inference, and lane segmentation.
Experience
Work history, roles, and key accomplishments
AI Engineer
Agrovech
Sep 2025 - Present (11 months)
Develops GeoAI and computer-vision solutions on satellite and aerial imagery, including object detection, segmentation, and classification integrated with GIS. Fine-tuned NVIDIA's LocateAnything-3B vision-language model with LoRA and delivered full-stack features for an internal product.
Education
Degrees, certifications, and relevant coursework
Sakarya University of Applied Sciences
Bachelor of Engineering, Mechatronics Engineering
2021 - 2025
Pursued Mechatronics Engineering coursework, with studies focused on autonomous systems and computer vision.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
oguzaybilir.orgPortfolio
github.com/asgaiatech-krakenJob categories
Skills
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