Embedded Files
This portfolio showcases projects from my research, extracurricular student organizations, academic curriculum, and personal endeavors.
Research
LLNL: Space Hardware
This page showcases the outcome of my Summer 2026 internship with Lawrence Livermore National Laboratory's Space Hardware group, which I completed as part of the GEM Fellowship partially funding my PhD at USC.
Research
AMBER Lab
At Caltech’s AMBER Lab, I developed a modular foot-sensing system for humanoid robots to measure and analyze ground reaction forces for improved bipedal locomotion stability and control.
MINED Lab
This ongoing project focuses on developing machine learning models to predict and optimize the thermal properties and processing parameters of shape memory alloys (SMAs) to use in design applications.
LIDAR Lab
Explore my work in the LIDAR Lab, where I contributed to advancing robotic foot traversal over complex terrain through mechanical design improvements and impedance control systems.
HPMI
Developed Python applications for adhesion and impact testing at the High-Performance Materials Institute, automating ASTM-standard analyses to enhance quality control and accelerate research.
Student Organizations
Robojackets: RoboNav
I am actively involved with RoboNav, contributing to the design, fabrication, and improvement of a mini rover for the University Rover Challenge (URC) in both the 2023-2024 and 2024-2025 years, where I mentor new members and apply my experience to enhance the team's performance and design solutions.
Yellow Jacket Space Program
The Yellow Jacket Space Program (YJSP) is a student-led organization at GT focused on designing and building rockets while fostering hands-on experience in aerospace engineering. I contributed to the design, analysis, and manufacturing of the Launch Lugs.
Academic
ME 2110: Robotics Competition
This page details the design and development of a fully autonomous robotic system for the Fall 2024 ME 2110 competition, where I focused on optimizing mechanical consistency, stability, and task performance under strict constraints with three peers.
ME 1670: Hydroponics System
The Modular Urban Hydroponics System is a sustainable, multifunctional design created for ME 1670: Engineering Graphics & Design that utilizes urban runoff water to efficiently grow crops, addressing food insecurity while promoting community engagement.
Personal
Machine Learning for Quality Control
My electrical engineering colleague, Sai Machiraju, and I developed a convolutional neural network to accept input images of chips and classify whether or not they were burned. See the following article for a step-by-step explanation of our work.
Google Sites
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