About
I’m a STEM generalist with a background in Mathematics, Physics, and Computer Science, and I’ve spent the last few years exploring different directions—academics, corporate operations, teaching, AI, and entrepreneurship—trying to understand where I fit best.
I started with a B.Sc. in Mathematics, Physics, and IT, followed by an M.Sc. in Physics, where I developed strong interest in quantum mechanics and computational modeling. During this time, I moved into the corporate world through GigIndia, working as a Project Manager / Team Lead in operations. That role taught me how businesses run in real life—client calls, project scoping, workflow setup, team hiring and onboarding, coordination with tech and finance teams, and end-to-end execution.
Later, I shifted to academics with BYJU’S, where I taught Physics and Mathematics at the K–12 level for nearly two years. I also had a short stint as an Operations Manager at Pinnacle Xplore, supporting growth and delivery systems.
Along the way, I explored finance and trading, learned some hard lessons, and developed a better understanding of risk, discipline, and decision-making.
I eventually returned to formal education, pursuing an MCA and B.Ed, and completed a one-year quantum computing program to strengthen my technical foundation. While studying, I freelanced—teaching international students (IB/IGCSE/AP) and contributing to LLM training and evaluation in Physics and Mathematics through platforms like Scale AI and Innodata.
I also experimented with entrepreneurship by building STEMix (stemix.net / stemix.org) and working on a travel project (kashmirdays.net). Some worked, some didn’t scale—but all of them taught me how products, execution, and market realities actually interact.
Currently, I work with Innodata on agentic AI systems, contributing to structured evaluation workflows and model improvement cycles. I find it exciting to watch AI evolve into a core layer for modern computing.
I’m still shaping what’s next, but I’m most interested in opportunities at the intersection of Physics, Mathematics, Computer Science, and applied AI—especially roles that combine technical thinking with execution and systems-building.
