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Yusuf Oğuzay BilirYB
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Yusuf Oğuzay Bilir

@yusufouzaybilir

I build GeoAI, computer vision, and autonomous systems for real-world imagery.

Turkey
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What I'm looking for

I'm looking for remote work where I can build end-to-end computer-vision, GeoAI, or autonomous-systems products—from data and model training through optimized deployment—while contributing to practical, high-impact AI systems.

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

Education

Degrees, certifications, and relevant coursework

Sakarya University of Applied Sciences logoSS

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

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