At Simreka, I lead computational modeling initiatives across industrial R&D projects. I developed Python-based tools for process simulation, optimization, and scientific workflow automation, and designed machine learning models for predictive analytics, yield prediction, and parameter optimization.
I also applied Generative AI to formulation development and materials discovery, performed LCA modeling, and collaborated with software engineers to build computational solutions.
Earlier, I built Aspen Plus simulations and techno-economic analyses for bioethanol production at the University of Kansas. At JK Tyre & Industries, I led engineering projects focused on tire performance and sustainability, using AutoCAD, NX, and Finite Element Analysis for product design and optimization.
