With a foundation in Computer Science from Thapar Institute and advanced Data Science training from the Indian School of Business, Hyderabad, I bring over 12 years of experience in building software and AI-driven data products across diverse industries—healthcare, agriculture, retail, e-commerce logistics, and banking. For the past four years at Labellerr, I’ve been passionate about enabling machine learning engineers to scale faster, freeing them to drive impactful AI solutions in areas like pest detection, waste recycling, grain quality analysis, self driving, robotics, and accessibility for the visually impaired.
My journey has taken me from my early days as an analyst to roles in software engineering, business intelligence, machine learning, and deep learning. Today, I’m known as the “Data Plumbing Guy,” leading a team dedicated to building Labellerr: an AI-driven data pipeline machine that empowers vision-based AI projects. Organizations like the Toyota Research Institute, Spare-it University of Maryland, Wadhwani AI, and 30+ others place their trust in our approach to refine and accelerate their data workflows.More details of the use cases on the website at www.labellerr.com/blog
Previously, I’ve had the privilege of contributing to innovative teams at Publicis Sapient, Walmart, Delhivery, Kofax Ephesoft, Rategain, Lybrate, and through global freelance projects. These experiences continue to fuel my commitment to making the AI adoption journey more efficient, accurate, and impactful.