Computer Engineer
TÜRKİYE Machine Learning & Computer Vision Previous: System Developer Intern at Toyota Education: Eskisehir Technical UniversityComputer Engineering graduate specializing in Machine Learning and Computer Vision. Demonstrated expertise in Edge AI by engineering a real-time inference system using YOLOv7, NATS, FastAPI, NVIDIA Triton, and TensorRT on Jetson devices.
Currently leveraging this technical background to build IdeaTree.app, an AI-powered SaaS platform designed to analyze business ideas and discover niche markets.
Possesses a strong foundation in full-stack development, ranging from C# and ASP.NET MVC enterprise applications to game development and reverse engineering. Proven leadership as Vice President of ESTU SAZOK and enhanced adaptability through international work experience in the United States. Passionate about transforming complex AI concepts into scalable, real-world solutions.
(1 Month)
Developed YOLOv7-based real-time inference system (NATS, FastAPI, Triton, TensorRT, Jetson, Gradio). Optimized inference speed by 48% by deploying models in an NVIDIA Triton Docker container with TensorRT acceleration.
(1 Month)
Built a web-based appointment system with C#, ASP.NET MVC, and Entity Framework, improving user management and scheduling efficiency.
Gained problem-solving and debugging experience by reverse engineering games and developing C# plugins.
Learned 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.
Learned how DNS and DNSSEC work, including concepts like key signing, zone signing keys, and domain validation. Practiced implementing these processes in Linux.
Attended an artificial intelligence seminar at Anadolu University.
Attended a machine learning seminar organized by Akbank Academy.