Omar Ghaffar is a software engineer and rising senior at the University of Texas at Dallas studying artificial intelligence with a minor in computer science, focused on applying machine learning to medicine, linguistics, and financial markets. With eight years of experience, he has hands-on work in computer vision and neural networks—training CycleGAN models for synthetic-to-real image translation and using pose-detection tooling during an ML internship at AI.Reverie. He codes primarily in C++ and Python, leveraging PyTorch, Keras, NumPy and Pandas, and pursues algorithmic trading strategies alongside deep reinforcement learning and neuroevolution research. Omar’s background observing surgeries at Children’s Medical Center gives him a rare clinical perspective that informs his interest in medical AI applications. He maintains an active GitHub and technical blog that document experiments and projects bridging theory to practical systems.
8 years of coding experience
Bachelor of Science, Artificial Intelligence, Minor in Computer Science, Bachelor of Science, Artificial Intelligence, Minor in Computer Science at The University of Texas at Dallas
Contributions:90 commits, 87 pushes, 1 branch in 4 years 8 months
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