Recep Erol, PhD is a deep learning and machine learning expert with extensive experience in high-performance computing and system-level optimization. With over a decade of work at the intersection of AI and computation, he brings a rare ability to understand and optimize the entire software pipeline — from data preprocessing and model design to deployment and runtime tuning.
His expertise includes:
Recep is known for designing resource-efficient systems that adapt to real-world constraints — whether enabling researchers on HPC clusters or deploying intelligent models under tight hardware budgets. His work reflects a holistic approach to AI development that prioritizes efficiency, scalability, and performance at every layer of the stack.