Summary
Mahati Bharadwaj is an AI Scientist with 10 years of experience building agentic and generative AI solutions and deploying enterprise-scale ML systems. She has driven end-to-end projects from discovery to production—ranging from generative-RL pipelines that accelerated drug discovery to industrial IoT predictive platforms and custom noise-removal algorithms that improved model performance. Her background blends rigorous research (Integrated MTech, IIIT Bangalore) with hands-on engineering across PyTorch, Docker, Jupyter, and visualization tooling, and she currently applies that expertise at General Motors. Notably, she has pushed model interpretability and near-zero error margins in time-series and bioinformatics workflows, showing a rare combination of domain impact and technical depth. Based in Normal, Illinois, Mahati pairs deep experimentation experience with practical deployment skills that shorten R&D cycles and enable measurable business outcomes.
9 years of coding experience
5 years of employment as a software developer
92.5%, 92.5% at Siva sivani public school (CISCE)
International Institute of Information Technology Bangalore
class 12, Maths, Physics, Chemistry, 97.0%, class 12, Maths, Physics, Chemistry, 97.0% at Kaizen Academy (BIE -AP)
English, Hindi, Telugu