Summary
Mecit Gungor is an AI/ML specialist and solutions architect with nine years of experience building end-to-end deep learning applications and optimizing AI workloads across cloud and edge environments. Currently at AWS, he advises external developers and enterprise customers on model deployment and performance tuning, drawing on prior roles at Intel and AMD where he led OpenVINO outreach and GPU performance benchmarking. Proficient in Python, C/C++, TensorFlow, PyTorch and multiple cloud platforms, he blends hands-on engineering with public speaking and developer training at universities and conferences. His background includes applied research in NLP, CV and transfer learning, as well as practical experience in MLOps, inference optimization and MLPerf benchmarking—skills that make him as comfortable profiling GPU stacks as mentoring developer communities. An uncommon strength is his track record of translating academic research projects into production-ready workflows and training programs that scale across organizations.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer and Information Sciences, Master’s Degree Computer and Information Sciences at Purdue University
Bachelor’s Degree Eletronic and Communication Engineering & Minor in Mathematic, Bachelor’s Degree Eletronic and Communication Engineering & Minor in Mathematic at City University of Hong Kong
English, Turkish, Chinese, French