Ameer Haj-Ali completed his Ph.D. in two years (summa cum laude, the fastest in the department) Electrical Engineering and Computer Science at UC Berkeley in the ADEPT Lab and RISE Lab, where he was advised by Professors Ion Stoica and Krste Asanovic. His research focused on Compiling, Auto-Tuning, Code Optimization, Machine Learning, Reinforcement Learning, and hardware for machine learning. At UC Berkeley Ameer helped bring up/led many projects spanning machine learning in compiler optimization and hardware software codesign. This includes Gemmini, AutoPhase, NeuroVectorizer, ProTuner, Ansor, AutoCkt and more. Ameer finished his M.Sc. studies (summa cum laude, the valedictorian) at the Technion in 2018, where he worked on using emerging memory technologies to enhance the performance of modern computer systems with Professor Shahar Kvatinsky and made multiple journal and conference publications. He also finished four years of undergraduate studies in computer engineering at the Technion in only three years, graduating summa cum laude and receiving the valedictorian honor. Since November 2019, Ameer is working at Anyscale, Inc, where he leads and maintains the on premise cluster management, C++ Ray API, and Ray automatic cluster manager (Autoscaler). During Summer 2019, Ameer worked as a research scientist at Intel Labs in the brain inspired computing lab where he explored deep reinforcement learning in system optimization, and built NeuroVectorizer and RLDRM (awarded best paper award). During his undergraduate studies, Ameer worked at Mellanox Technologies as a chip designer, focusing on creating design and automation tools that facilitated the formal and dynamic verification process. In his free time, Ameer volunteers as a board member on the board of directors of American Technion Society (ATS), and promotes the underprivileged Arab minority in Israel. ©