Jere Perisic is a graduate student at Northeastern University, specializing in applied machine learning and backend architecture. His work spans practical AI applications, including NLP, computer vision, and scalable system design. He has contributed to projects such as pneumonia diagnosis prediction in ICU patients using ICD-9 codes, image enhancement pipelines combining Stable Diffusion and Faster R-CNN, and oppositional thinking analysis with PANLab. Jere also gained industry experience as a full-stack intern at Mathmex, a math-focused search engine, and is an active open-source contributor to Execution Flows.