Biography
I am a master’s student in Biomedical Engineering at Columbia University, with a background in Electronics and Communication Engineering. I blend expertise in embedded systems, artificial intelligence, and medical device innovation. My journey is shaped by curiosity, compassion, and a drive to create impactful healthcare technologies.
I have contributed to interdisciplinary projects spanning biomedical signal acquisition, wearable health systems, and assistive devices. My work includes developing a patented AI-based diagnostic tool for breast cancer detection, designing IoT-based patient monitoring systems, and building wearable solutions that assist wheelchair users with navigation. Across these projects, I have worked at the intersection of hardware, firmware, and software—integrating signal processing, sensor interfacing, and machine learning to build scalable, human-centered technologies.
During my internships at DRDO (NSTL) and UiPath, I gained experience in signal processing, automation, and applied AI. At DRDO, I developed a YOLO-based object detection model for sonar data, while at UiPath, I explored automation workflows that integrate intelligent systems; both experiences reinforced my systems-level thinking and multidisciplinary approach to innovation.
Now at Columbia, I am eager to deepen my expertise in biomedical imaging, AI for healthcare, and wearable systems, while contributing to translational research that bridges engineering innovation with human well-being.
Education & Training
M.S. in Biomedical Engineering, Columbia University (2025–2026)
B.Tech in Electronics and Communication Engineering, GITAM (Deemed to be University), India (2025)