Summary
Jayanti Prasad is an Associate Principal in Data Sciences and a Ph.D. physicist who has translated over two decades of academic research into industry-leading expertise in ML, Deep Learning, Generative AI and Agentic AI. With a research pedigree of 100+ publications and 80,000+ citations, she combines scientific rigor, large-scale simulation experience and high-performance computing know-how to design production-ready modeling frameworks and enterprise AI solutions. Her background building a 200 TF HPC grid for LIGO and architecting ML on source-code projects gives her uncommon depth at the intersection of computational infrastructure and applied AI. A seasoned mentor and team builder, she has led R&D and delivery across startups and research institutes while moving complex algorithms into practical systems. Based in Chennai, she continues to bridge academic innovation and commercial impact, often spotting opportunities where physics-grade modeling can improve ML robustness.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.) Astronomy and Astrophysics at Harish-Chandra Research Institute
Bachelor of Education - BEd Education, Bachelor of Education - BEd Education at Hemwati Nandan Bahuguna Garhwal University