Summary
Sabarish Vadarevu is an independent consultant and former senior manager in data science with nine years of experience building production-grade machine learning systems for high-ambiguity computer vision problems. Over seven years at Akridata he led data-centric ML work—shaping dataset tooling, embedding search, autolabeling, and agentic workflows—personally driving hundreds of technical improvements and thousands of platform work items. He brings a scientific lens from a PhD in engineering and turbulence research, treating ML systems as dynamical systems that require observability, constraints, and feedback rather than blind optimization. Recently he’s focused on retrieval-augmented and agentic AI with an emphasis on reliability, evaluation, and iterative correction loops for traceable outcomes. Based in Hyderabad, he combines hands-on implementation of ML infrastructure with mentoring and product-facing delivery, and often experiments at the intersection of physics-informed modeling and ML-assisted engineering workflows.
9 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy (PhD), Engineering, Doctor of Philosophy (PhD), Engineering at University of Southampton
English, Telugu, Hindi, Spanish