Research Projects
Wideband Full Duplex Transceiver (2026)

I am taping out a complete transceiver that aims to demonstrate the capability of simultaneously transmitting and receiving in the same frequency through the same antenna (aka Same-Channel Full-Duplex) with a capacitance bridge. In 2018, Dr. Abhishek Kumar demonstrated this in 2.4 GHz over a 20 MHz RF bandwidth, I am extending this to show the same at 7 GHz with a 600 MHz bandwidth
High-Fidelity Clocks for 6G Terahertz System (2024)

I worked at the 5G Testbed (Now called 6G TeraHertz Testbed) during my Undergraduate Studies. Our TeraHertz system that establishes a point-to-point wireless link at 270 GHz was displayed at the Indian Mobile Congress 2024. I designed the Clock Rack (Seen at left bottom of the image) to provide low-jitter reference clocks upto 100s of MHz for synchronizing our baseband units (BBUs) to GPS
Other Projects
These are some other projects that have given me some inter-disciplinary exposure. While not directly related with my primary research areas, these have broadened my perspective on the emerging paradigms of computing
Open Source - Quantum Datasets for Fast-Forwarding (2025)

We collaborated with the IBM Qiskit Team (From both IBM Research and STFC UK) on adding natively quantum datasets to the Qiskit environment. Variational Fast-Forwarding is a pipeline introduced in 2020 to simulate atomic systems beyond coherence time on NISQ hardware. We reviewed the recent developments around this algorithm and contributed a dataset generator that can be utilized natively on quantum computing runtimes (Image adopted from Filip et al.)
Projects at Sahaay - Social Innovation Club of IIT Madras (2023)

In 2023, I served as the executive head of the Social Innovation Club of IIT Madras. The club's primary focus is to build engineering solutions for socially relevant problems. During my tenure, I led a team of about 100 members and we worked on 6 projects related to assistive technology, agricultural technology and animal welfare solutions.
I guided two teams working on using deep learning models on wearables for assisting visually-impaired and auditorily-impaired individuals with independent mobility. During these projects, I got to see the real necessity of efficient edge-inference because with the current paradigm of using GPUs for inferencing, we were limited by the power budgets expendable. This reinforced my interest in exploring emerging paradigms such as In-Memory Computing.