From building human-powered vehicles to prototyping AI-driven study tools, I merge mechanical intuition with computational design to create systems that bridge ideas and real-world impact. CAD to code, I hold a passion for building the future of robotics and more.
Growing up, my education wasn't focused on STEM, but I found my way into engineering through sheer curiosity. I was fascinated by the hidden mechanisms inside everyday objects, from taking apart toys to dissecting machines. This tinkering evolved into a deeper interest in new technologies, leading me to learn new software and solutions to build what I previously only admired from afar.
My academic journey at Tufts has been shaped by a desire to both understand and create. I've realized that the best solutions aren't found alone, but through collaboration and community. This belief in team-driven innovation fuels my passion for engineering and motivates me to seek opportunities to apply my skills to real-world challenges with a lasting impact.
Authored a paper for IEEE RFSA proposing a novel framework to enhance the efficiency and speed of the microwave oven's operation. Paper proposes closed-loop architecture paving the way towards a responsive feedback loop controlling microwave heating in an intelligent way.
Authored a paper for ICLR 2026 & MLSys 2026 proposing a novel framework to mitigate catastrophic forgetting in LLMs. Designed a dual-population evolutionary system (EMA-NEAT) to evolve network architecture and specialized neural modules. Benchmarked on real-world datasets and engineered a PyTorch-based pipeline for the full training stack.
Developed a custom 8-bit CPU emulator and a compiler for a Micro-C language. This project showcases a deep understanding of computer architecture, operating system principles, and compiler design by executing high-level code on a custom virtual machine.
Engineered a feedforward neural network in C++ with an interactive SFML GUI. This low-level implementation of backpropagation and matrix operations showcases a deep understanding of ML fundamentals.
Developed a virtual mouse using Python, OpenCV, and MediaPipe for real-time hand tracking. Created a refined human-computer interface with calibrated motion sensitivity and gesture smoothing, demonstrating HCI principles.
Created a real-time audio visualizer in Python with live mic input. Applied noise filtering and signal processing, demonstrating an understanding of digital signal processing fundamentals.
Designing a mobile robot for 3D mapping in hazardous environments, integrating LiDAR, ROS2, and SLAM.
Building a six-legged robot using C++ and inverse kinematics for stable, multi-gait movement. This full electromechanical system from concept to prototype will demonstrate expertise in embedded control and real-time computation when finished.
Developed a tactile map using Python and OpenCV to convert visual maps into braille-embossed formats. This project enhances accessibility for the visually impaired. Inspired and submited into the AlgoArena hackathon.
Goal-oriented meal generator for Tufts students using the dewick dinning hall. Inspired and tasked to accomplish initially in Ruby for CS15 midterm (build a project with a new language within 15 hours).
View Project
Interactive jet engine simulator for education and learning. Inspired by Phy 12 course at Tufts University.
View ProjectACE++ Program, Tufts University
Robotics For All
Center for Engineering Education and Outreach (CEEO)
Robotics Club, Tufts University
I am always looking for opportunities to apply my skills to challenging problems. Please feel free to reach out.
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