I’m a Machine Learning & Computer Vision specialist pursuing my M.S. in Applied Data Science at the University of Chicago (Dec 2025). I build end-to-end AI systems from LLMs with Retrieval Augmented Generation that support 15,000+ students to real-time CV pipelines using YOLOv8 + Deep SORT and NeRF for 3D behavior modeling. Previously, I shipped inventory/shopping automation at Autonomo (YOLO, PyTorch, Kafka), deployed OCR + custom YOLOv5 at Scienaptic (AWS), and delivered high-accuracy medical imaging models at Adventum (ResNet, OpenVINO). I work across Python, TensorFlow/PyTorch, SQL, AWS, Docker, MLflow, and Kafka. If you need practical guidance, code reviews, or a clear build plan. let’s talk.