About Me

I love solving real-world problems and building solutions from the ground up. I'm drawn to new tools and languages, even if it means troubleshooting my way through unfamiliar terrain — because there’s nothing quite like sketching out an idea and watching it work for the first time. I'm especially passionate about algorithms, machine learning, and computer graphics.

I'm currently a Data Scientist at Carnot Technologies, where I work on decision-support tools for large-scale tractor fleets and OEMs. My work spans geospatial analytics, real-time dashboards, LLM-powered internal tooling, and integration with ERP systems. Prior to this, I was a Modeling Systems Engineer at Qualcomm, where I implemented and tested receiver algorithms for Wi-Fi chips used in mobile and networking devices — contributing to core PHY layer performance and debugging pipelines. I worked daily with C++, Python, MATLAB, Jenkins, and Perforce.

I graduated from IIT Bombay in June 2023 with a B.Tech and M.Tech in Electrical Engineering and a minor in Computer Science. My academic path has taken me through a winding mix of astrophysics, computer networks, machine learning, and communications. My Master's thesis combined deep learning and network optimization: one project on node estimation in dense IoT networks using neural networks and privileged feature distillation, and another on probabilistic congestion control in satellite networks.

Over the years, I've been invited to collaborate with the Indian Air Force on defense tech challenges, filed and defended a patent for a low-cost bio-waste fuel briquette, and built ML models to detect harvest patterns using SAR imagery for sugarcane farms. I've worked with ASTROSAT data to identify gamma-ray bursts and developed analytics products for both farmers and OEMs using telemetry and weather data — experiences that have made me comfortable working across disciplines, from space to soil.

Outside of work, you'll find me playing football