Summary
Shaif Chowdhury is an Assistant Professor of Computer Science and a PhD researcher specializing in machine learning and computer vision with a decade of experience across academia and industry. He led computer vision projects detecting and tracking invasive species from water-sample videos and built ML pipelines for traffic video analytics during an industry internship, demonstrating strong applied research-to-production skills. His background spans disease-surveillance data science, teaching database and algorithm courses, and hands-on internships in data science and AI education. Now at Texas A&M University–Kingsville after research and teaching at Baylor, he blends rigorous experimental research with practical deployment experience. Shaif’s work often targets real-world sensing problems—an uncommon focus that bridges environmental monitoring and transportation analytics. He is active in the academic community, inviting collaboration and contributions to ongoing machine learning and vision research.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Institute Of Engineering and Management
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Baylor University