About
I started in Electronics Engineering, where I learned to think in systems: how constraints shape decisions, and how components interact. That foundation has shaped how I approach everything I build.
Alongside that, I explored building things in very different contexts, from running a fashion accessories business end-to-end to leading TEDxVITPune as licensee, coordinating a team of 100+ across departments.
After graduating, I spent two years at FinIQ Consulting in a forward-deployed role, working with banking clients across the Middle East and South Asia. I translated business requirements into engineering specs, supported software delivery, and worked closely with stakeholders to ensure adoption post-launch. Here, I was on the team that launched consumer amortising bonds in India!
During my MS in Computer Engineering (Machine Learning) at RIT, I deepened that foundation through work in machine learning, cognitive research, and predictive modeling. I completed my thesis in the predictive mental health space, worked on adversarial ML at Brainlab on an Air Force Research Laboratory-sponsored project, and conducted cognitive research at the SPACE Center studying how deafness affects mathematical reasoning in children.
I now work at Qualitrol, where I build and deploy AI-enabled systems in production: developing ML pipelines for operational data, leading agentic development workflows, and integrating LLMs into engineering tools used across teams.
Across all of it, the motive has been the same: understanding how people interact with systems, and building ones that work for them.