Ahmet Pokerce
About Ahmet Pokerce
Ahmet Pokerce is a software developer at RadiusAI, Inc., specializing in AI model optimization and real-time video processing. He has experience in customizing open-source libraries and has previously worked at various technology companies, contributing to AI solutions and image processing.
Work at RadiusAI
Ahmet Pokerce has been employed as a Software Developer at RadiusAI, Inc. since 2022. In this role, he focuses on deploying and accelerating AI models using TensorRT to optimize inference processes. His work contributes to enhancing the efficiency and performance of AI solutions within the company.
Previous Experience
Prior to joining RadiusAI, Ahmet Pokerce worked at several organizations. He served as a Candidate Engineer at Ford Otosan from 2021 to 2022, where he gained experience for eight months. He also worked as a Software Engineer in AI Solutions at Yongatek Microelectronics for three months in 2022, focusing on C++ and image processing. Additionally, he completed a three-month internship at Signalton Technology in 2021.
Education and Expertise
Ahmet Pokerce earned his Bachelor's degree in Electrical and Electronics Engineering from Orta Doğu Teknik Üniversitesi (Middle East Technical University) between 2017 and 2022. His education provided a strong foundation in engineering principles, which he applies in his software development work, particularly in AI and image processing.
Technical Skills and Projects
Ahmet Pokerce specializes in object detection through deep learning and has experience in customizing open-source libraries to meet project needs. He has developed a multi-threaded camera source reader that integrates with a Triton server, enabling real-time inference requests. His expertise also includes streamlining video processing and real-time inferencing using GStreamer and DeepStream.
Focus and Contributions
Ahmet Pokerce emphasizes problem-solving and model optimization in his work. He is dedicated to delivering high-quality AI solutions with precision and efficiency, contributing to advancements in AI technology through his technical skills and project involvement.