Summary
Piyush Dugar is a Staff Software Engineer with nine years of experience specializing in speech, audio, NLU and large language model systems, currently leading AI services at Arm after senior ML roles at Amazon and AWS. He holds an MS in Electrical and Computer Engineering from Purdue and has a strong track record of moving research into production—designing scalable ML infrastructures and models for wake-word detection, meeting summarization, and student-behavior prediction. At Purdue he built ETL and modeling pipelines that processed terabytes of logs and cut daily job runtimes by 75%, demonstrating an ability to optimize both models and systems. His background spans embedded-to-cloud ML, from GPU-accelerated action recognition prototypes to production ML services at Annapurna Labs. Colleagues know him for translating complex signal-processing research into reliable, deployable systems and for balancing experimental curiosity with production-grade rigor. Based in West Lafayette, he blends academic depth with practical engineering for high-scale AI applications.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Indian Institute of Technology Jodhpur
Nanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at Udacity
Master of Science (MS) Electrical and Computer Engineering, Master of Science (MS) Electrical and Computer Engineering at Purdue University
English, Hindi