Visiting Student at MIT's SMART program (M3S).
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PhD Student
Data Scientist
June 19, 2026 – Present
HCI-Implementations
March 2, 2025 – March 2, 2025
HCI-Implementations — GitHub repository
View Projectabdominal_image_classification
October 13, 2024 – November 6, 2024
Code base for the Medical Image Segmentation on 12 abdominal organs
View ProjectPA2BLO
May 25, 2023 – Present
We present the hardware design and software pipeline for a battery-less device, in the form factor of a wearable badge, that supports ultra-low power sensing, processing and wireless transfer of human voice commands and interactions.
View Projectu-Bat
March 31, 2021 – March 8, 2023
u-Bat (ULP-ACE) aims to design a deployable system at edge to detect and classify the audio signatures with ultra-low, ultra-light accoutic classifier. We have used TI's CC1352 as a demonstration chip which has ARM Cortex M4F processor and supports TI-RTOS. This work is done under the guidance of Dr. Chetan Singh Thakur, Assistant Professor, IISc.
View ProjectDhvani
January 13, 2021 – October 6, 2021
Low-cost, portable, super resolution ultrasound imaging system. It’s an 8-channel transceiver with 16 analog multiplexes to time-multiplex 128- channel transducer probe data, which folds hardware by 16 times and reduces cost.
View ProjectSignal_inpainting
November 30, 2016 – February 23, 2021
Implementation and discussion of how signal inpainting works on graphs using two techniques namely, Graph total variation regularization and Graph total variation minimization, and a comparison between them with different known and unknown parts of the 1-D signal
View ProjectBug_RRT_CD_Algorithms
November 30, 2016 – November 30, 2016
Bug0 Algorithm, RRT Algorithm, Cell decomposition Algorithm (for 4 different scenarios)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research and development, particularly in signal processing, medical imaging, and embedded systems. This aligns well with roles requiring innovation and deep technical investigation. The diversity of projects suggests adaptability and a willingness to explore different technical challenges. However, the current experience is listed as 'PhD Student' with a future start date, and no formal work experience is provided, which might indicate a need for mentorship in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a hands-on, problem-solving approach. However, without psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration skills.