Summary
Waris Quamer is a PhD candidate and Graduate Research Assistant at Texas A&M University specializing in deep learning for speech synthesis, with a focus on voice conversion and accent reduction. With eight years of industry experience across roles at Amdocs, Arista Networks, Sairen, and an Applied Scientist internship at Amazon, he blends production software engineering with research-driven ML. His work bridges perceptual studies and generative models, aiming to make synthesized speech more natural and accessible. He holds an MS (4.0) and is pursuing a PhD in Computer Science at Texas A&M after a BTech from IIT (ISM) Dhanbad, bringing strong academic rigor alongside real-world deployment experience. Notably, his profile reflects a rare combination of hands-on internship experience at major tech firms and sustained research focus on speech perception—useful for teams working at the intersection of research and product.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M University
English, Hindi