Summary
Siddharth Divi is an Applied Scientist with nine years of experience specializing in robust speech and audio machine learning, currently building low-power wake-word systems for Alexa at Amazon. He has a strong applied ML and software engineering background from roles at AWS SageMaker GroundTruth and multiple Amazon teams, where he blended annotation-quality metrics, assisted-annotation integrations, and production services. Trained with an MS in Computer Science from Purdue and hands-on research experience extending ML algorithms for constrained devices at Microsoft Research, he brings both academic rigor and production-first sensibilities. Based in California, Siddharth pairs deep model expertise with systems thinking to optimize ML for resource-constrained environments—an underappreciated strength that shows up in his LPWW work. His personal outlook, summed on GitHub as "It's an open world," hints at a curiosity-driven approach to problem solving and continual learning.
9 years of coding experience
4 years of employment as a software developer
Kendriya Vidyalaya Sangathan
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Purdue University
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Sri Sivasubramaniya Nadar College Of Engineering
English, German, Hindi, Telugu, Tamil, Sanskrit