Buğra Kaan
TÜRKİYE Machine Learning & Computer Vision Current: Computer Vision & Machine Learning Engineer at Visea Innovative Education: Eskisehir Technical University
Portfolio
Personal Details
- Education: Eskisehir Technical University
- Graduation: 06/2025
- Email: bugrakaan02@gmail.com
About Me
Computer Vision & Machine Learning Engineer at Visea Innovative, building and deploying production-grade AI pipelines for real-world edge environments. Specializes in model optimization for Edge devices, hyperparameter optimization, and end-to-end deployment on NVIDIA and Hailo NPUs via TensorRT and .hef conversion. Passionate about turning complex AI research into fast, scalable, reliable systems.
Skills
Experience
Computer Vision & Machine Learning Engineer
Developing and testing production-focused computer vision and machine learning solutions. Leveraging Stable Diffusion, custom LoRA training, and ControlNet for synthetic dataset generation to overcome data scarcity. Implementing MediaPipe face landmark extraction for robust face analysis. Actively training, optimizing, and dockerizing multi-model pipelines for Edge devices, including .trt and .hef conversion to maximize performance on NVIDIA and Hailo NPUs.
System Developer Intern
Engineered a real-time YOLOv7 inference pipeline optimized for the Jetson AGX Orin. Developed a robust communication layer utilizing NATS subscriptions and FastAPI, integrated with a user-friendly Gradio interface. By converting the models to TensorRT and migrating the Python backend to NVIDIA Triton Inference Server, the system achieved a 47% acceleration in inference speed.
Computer Engineer Intern
Built a web-based appointment system with C#, ASP.NET MVC, and Entity Framework, improving user management and scheduling efficiency.
Developer
Gained problem-solving and debugging experience by reverse engineering games and developing C# plugins.
Certificates
Introduction to Artificial Intelligence
Linux Kullanıcıları Derneği | 02/2025Learned the basics of machine learning models, model evaluation methods, and deep learning concepts such as perceptron and CNNs. Gained hands-on experience with tools like Pandas and Matplotlib.
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DNS & DNSSEC
Linux Kullanıcıları Derneği | 02/2024Learned how DNS and DNSSEC work, including concepts like key signing, zone signing keys, and domain validation. Practiced implementing these processes in Linux.
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The Power of AI: GenAI
T.C. Cumhurbaşkanlığı Dijital Dönüşüm Ofisi | 03/2024Attended an artificial intelligence seminar at Anadolu University.
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AWS Academy Graduate
AWS Academy Cloud Foundations | 12/2024Completed foundational cloud computing concepts, AWS core services, security, architecture, pricing, and support.
ViewMachine Learning 101
Akbank Gençlik Akademisi | 05/2024Attended a machine learning seminar organized by Akbank Academy.
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