Summary
Khandokar Nayem is an Applied Scientist with eight years of experience at the intersection of speech processing, machine learning, and applied research, now working on Amazon’s Seller Partner Services. He holds a Ph.D. track at Indiana University and has a strong publication record in speech enhancement and perceptual modeling, having developed attention- and recurrent-based architectures that tie model outputs to human MOS ratings. His background spans industry and academia—from prototyping ML solutions for defense at CHAOS Industries to building real-time multilingual speech translation and compressed models during Amazon and Microsoft internships. He combines rigorous research (INTERSPEECH, ICASSP, TASLP) with product-focused engineering, including deploying quantized and distillation techniques to shrink LLM performance into lightweight systems. Based in Seattle, he brings practical experience in teaching and mentoring, plus hands-on signal-processing know-how applied to real-world devices like hearing aids and voice wearables—an asset for bridging lab innovations to production.
8 years of coding experience
10 years of employment as a software developer
Higher Secondary Science, Higher Secondary Science at Dhaka College
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Indiana University Bloomington
Secondary Science, Secondary Science at Government Laboratory High School
B.Sc Computer Science and Engineering, B.Sc Computer Science and Engineering at Bangladesh University of Engineering and Technology
Bangla, English