Currently in my senior year, I’m pursuing Bachelors in Computer Science and Engineering at SRM IST. I’m excited to learn about how machines work and explain the rationale behind their decisions. My research interests include Machine Learning, Expert Systems, Image Encryption and Explainable AI.
I’m also dedicated to teaching and mentoring. I’ve served as a Google ExploreML Facilitator and impacted 1k+ students and faculties through it. I also founded Cognitive Applications Research Lab, to ease the learning curve of students getting into research. I currently lead CARL and head the RnD domain at IEEE SRM.
Outside academia, I love travel, music, reading and meeting new people!
Download my resumé.
B.Tech. in Computer Science Engineering, 2021
SRM Institute of Science and Technology (SRM IST)
High School, 2017
M.P. Birla Foundation H.S. School
Founded a research focussed Lab at SRM IST, run by and for students.
As Head of RnD, my respnsibilities include
As an intern at Samsung Research, I worked on devleoping and deploying a handwriting recognition model for Samsung’s edge devices.
Research work titled "Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy using deep Convolutional Neural Network".
Here’s the certificate for my initial role as a summer intern on the same project.
Explore ML Facilitators are experts who reach out to students, to inculcate in their hearts, a love for ML. Tracks ranging from beginner to advanced ensure there’s something for everybody. 🔥
Diversity and Inclusion play an important role in my vision of a better global future.
3566 students from 76 countries completed ~21k tasks with 29 FOSS orgs in 2019.
Having started my FOSS journey through GCI, being a student for many years, then serving as a mentor, was really exciting. Here’s my mentorship certificate.
As a deeplearning.ai ambassador, my reposnibilities include
ROBOCON is an Asia-Oceania Robotics Competition organized by Asia Broadcasting Union annually. Being a member of all 3 domains, Coding, Electronics and Mechanical, I did a ton of interesting things here in my freshman year.
This study introduces a blazingly fast, randomized, no-loss expert system for tic-tac-toe using decision trees called T3DT, which tries to emulate human gameplay as closely as possible and is over 22k times faster than non-randomized minimax based approaches.
A model of just 138KB working at 30fps, is proposed for face-mask detection on ARM Cortex-M7 microcontroller clocked at 480 Mhz and having just 496 KB of framebuffer RAM. This technique is fast, reliable, safe and helps thwart the transmission of the coronavirus.
Strong and weak regions of Logistic Map, Logistic-Tent system, Logistic-Sine system and Tent-Sine system have been identified using using 0-1 test and three state test (3ST). This’ll encourage stronger testing practices, making cryptosystems more secure.
This paper discusses how COVID-19 has changed the landscape of multimedia consumption and resulted in an imperative need for better and faster selective encryption techniques and presents a survey of the most recent advances.
A model of just 185KB is proposed for ASL prediction on ARM Cortex-M7 microcontroller, which works at 20 fps. Interpolation augmenation is shown to be effective for improving classification generalization.