AI & CS engineer with demonstrated expertise in developing cutting-edge, resource efficient deep learning solutions to solve real world problems. Recognized for winning the Best Computer Vision Project Award at the Determined AI Hackathon among 600+ participants. Skilled in Python, PyTorch, SQL & cloud GPU platforms, with a proven track record of designing AI deep learning models, including a transformer-based chess engine outperforming 90% of players and a Swin Transformer for medical diagnostics achieving 87% accuracy with limited resources to simulate real world constraints. Showcased ability to brainstorm, research, design, build & evaluate state-of-the-art models, with reference to academic publications. Proficient in handling large datasets, training models on the cloud & automating workflows with scripts. Showcased strong data analytics and math skills by excelling in a national data analytics competition and conducting a math research project that achieved national and international recognition.
Skills:
Python, Pytorch, Tensorflow, AI Model Architecture Design & Evaluation, Domain-specific Model Enhancements, Transfer Learning, Hyperparameter Tuning, Google Cloud Platform, | Linux CLI, Shell scripting | SQL, Numpy, Pandas, Matplotlib
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