My journey spans from achieving the highest rank in Scouts BSA to conducting cutting-edge quantum computing research at the University of Maryland. Along the way, I've discovered that the discipline, leadership, and problem-solving skills I learned in scouting perfectly complement the rigorous demands of quantum physics and machine learning.
My fascination with technology began early, but it was during my time at Ridge High School that I discovered my passion for computer science. What started as curiosity about how to program computers became a passion for solving complex problems through coding.
At the University of Maryland, my interest in CS evolved into a curiosity about the cutting-edge fields of machine learning and quantum computation. I am currently pursuing a B.S. in Computer Science with a concentration in Machine Learning, complemented by minors Quantum Science & Engineering and Statistics. This interdisciplinary approach allows me to explore the fascinating intersections between quantum computing, artificial intelligence, and software engineering.
My research at the National Quantum Laboratory involves working with real IonQ quantum processors while exploring hybrid quantum models for image processing. This work represents the cutting edge of quantum machine learning, where we're pushing the boundaries of what's possible with current and future quantum hardware.
Beyond research, I am passionate about leadership and mentorship. As Project Lead for the IonQ Team at UMD App Dev Club, I manage & oversee an ongoing project to implement a hybrid quantum image segmentation model for critical wildfire detection applications.
Key milestones that shaped my path from scouting to quantum computing research.
Achieved the highest rank in Scouts BSA, demonstrating leadership, service, and commitment to community. This experience taught me incredibly valuable lessons of perseverance, hard work, leadership, and collaboration.
Recognized as a top 3 finalist for innovative design of an autonomous aquatic surface skimmer to control algal blooms, a product of interviews of experts in the field. This unique collaboration experience helped develop my complex technical problem solving skills.
At Munch Industries, I delivered 8,000+ critical lines of code supporting touchscreen UI and full-stack infrastructure for a prototype bubble tea machine, capable of serving 100+ customers daily with cloud monitoring capabilities. In this role, I was able to familiarize myself with Agile development as well as build strong fundamentals in documentation, testing, and code reviews, all while learning new technologies and working in a startup environment.
Began B.S. in Computer Science (Machine Learning) with minors in Statistics and Quantum Science & Engineering. Started exploring the intersection of quantum mechanics and artificial intelligence by commencing research under the UMD FIRE program's Quantum Machine Learning stream. Found joy through dance by joining UMD's competitive South-Asian dance team, Maryland Manzar.
Achieved >99% MNIST accuracy using hybrid quantum models on IonQ quantum processors, validating hand-built models and exploring GPU-accelerated wildfire segmentation with quantum enhancements.
Earned IBM Certified V2.X Qiskit Developer - Associate certification, validating proficiency in quantum circuit design, error mitigation, and hardware optimization.
Project Lead for IonQ Team (UMD App Dev Club), leading teams in quantum algorithms research and real-world applications.
Interactive visualization of my coding journey and open source contributions.
Milestones that reflect my commitment to excellence and continuous growth.
A comprehensive skill set developed through academic study, research, and industry experience.