Summary
Mohammad Hashemi is an Applied Scientist II at Amazon with nine years of experience bridging academic research and production ML systems, holding a PhD in Artificial Intelligence from University at Buffalo. He specializes in learning representations from sequential, tabular, and visual data, applying NLP, computer vision, multimodal learning and self-supervision to real-world problems. His work spans building attention-based and multimodal embeddings (document classification at 92% during an EY internship) to production-focused deep learning at scale. Past roles include research internships and engineering positions where he delivered time-series prediction, lip-reading, face verification, and object-detection models, as well as earlier full-stack software and automation projects. Based in Seattle, he pairs rigorous research instincts (“DL for real”) with practical engineering execution, often turning novel architectures into measurable business impact.
9 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Computer Science, 3.7/4, Master of Science (MS), Computer Science, 3.7/4 at University at Buffalo
Savitribai Phule Pune University
School, High School/Secondary Diplomas and Certificates, School, High School/Secondary Diplomas and Certificates at N.L.Dalmia Institute of Management Studies and Research
English, Hindi, Marathi, Urdu