Summary
Pratyush Singh is a Machine Learning Engineer with nine years of experience building production ML systems at IBM, currently focused on unifying agent evaluation and operations for Core AI & Agent Ops. He progressed from data-and-AI CSM work to leading algorithmic features for Watson Orchestrate and Watson Assistant, including algorithm versioning, contextual entities, and agent integration. A UT Austin-trained engineer, he has hands-on experience deploying efficient ML on constrained hardware—demonstrated as Chief Engineer on a NASA-backed seeker vision mission that ran CNNs on spacecraft hardware. Comfortable across the stack from backend engineering to model development, he brings a pragmatic, product-oriented approach to evaluation pipelines and agent tooling. Based in the New York City area, he combines research-caliber results with enterprise-scale delivery.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical and Computer Engineering, Bachelor of Engineering (B.E.) Electrical and Computer Engineering at The University of Texas at Austin
High School Diploma, High School Diploma at Plano West Senior High School
English, Hindi