An AI and computer science engineer focused on creating efficient deep learning solutions for practical challenges, recognized for winning the Best Computer Vision Project Award at a large AI hackathon. Expertise includes developing a transformer-based chess engine that surpasses most human players and a high-accuracy swin transformer for medical vision diagnostics. Proficient in Python, PyTorch, TensorFlow, SQL, and cloud GPU platforms, with strong skills in model design, data management, training, automation, and implementing resource-efficient, research-driven innovations.