Summary
Zaid Bhat is a Deep Learning Software Engineer with eight years of experience building production-ready computer vision systems, currently working at NVIDIA and pursuing an MS in Computer Science at Texas A&M. He has driven research-to-product projects in video action recognition and object detection, leading the AutoVideo AutoML package (200+ GitHub stars) that cut manual tuning time by ~70% while improving accuracy. His work spans edge deployment—designing a 100× smaller YOLO-V1 for MAX78000 microcontrollers—to transformer-based object detection within NVIDIA’s Intelligent Video Analytics group. A repeat research collaborator at institutions including KAUST and IISc, he blends strong academic results (4.0 MS, top-ranked BTech) with hands-on engineering to ship constrained, real-time ML solutions. Notably, he’s led tooling and parser projects that translated complex binary streams into usable JSON, reducing designer effort and enabling higher-quality training data.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Texas A&M University
High School Diploma, 98%, High School Diploma, 98% at Tyndale Biscoe School
Bachelor of Technology, Computer Science and Engineering, 9.64/10, Bachelor of Technology, Computer Science and Engineering, 9.64/10 at National Institute of Technology, Srinagar
English, Kashmiri, Urdu, Hindi