I build systems that move data, structure workflows, and make technical work legible to humans. My background spans Goldman Sachs, Amazon, Samsung Research, the University of Toronto, and BITS Pilani, and my current work includes AI systems, reconstruction projects, and technical writing that connects implementation to business value.
A concise snapshot of my background and the kinds of systems I enjoy building.
University of Southern California — M.S. Computer Science (current).
BITS Pilani — B.E. Computer Science, minor in Data Science.
I have also worked as a teaching assistant for microprocessor programming, non-linear optimization, and neural networks / fuzzy logic, which shaped how I explain technical ideas.
At Goldman Sachs, I worked on large-scale data migration, reconciliation, backend services, authentication, monitoring, and security fixes for enterprise systems.
Earlier, I built computer vision and GAN-based models at Samsung Research, the University of Toronto, and CSIR-CEERI.
The portfolio is organized around publications, projects, and exploratory work.
Two papers with short descriptions, official links, implementation links, and Scholar references.
Open pageConstruction quality control, the law tool (stealth), and other technical systems I have built or shaped.
Open pageNotes and exploratory thinking around pattern structure, symbols, transcription, and uncertainty.
Open page