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 and quantum mechanics. What started as curiosity about how computers work evolved into a deep interest in the fundamental principles that govern our universe.
At the University of Maryland, I'm pursuing a B.S. in Computer Science with a concentration in Machine Learning, complemented by minors in Statistics and Quantum Science & Engineering. 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, where I've achieved over 99% accuracy on MNIST classification using hybrid quantum models. This work represents the cutting edge of quantum machine learning, where we're pushing the boundaries of what's possible with current quantum hardware.
Beyond research, I'm passionate about leadership and mentorship. As Technical Lead for the IonQ Team at UMD App Dev Club and Applied Track Lead for Do Quantum, I guide teams of engineers and researchers in exploring quantum algorithm applications across industries including finance, healthcare, and environmental science.
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 the value of perseverance and the importance of helping others achieve their goals.
Recognized as a top 3 finalist for innovative water-related research project, showcasing early aptitude for scientific inquiry and environmental problem-solving.
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.
At Munch Industries, delivered 8,000+ lines of code supporting touchscreen UI and full-stack infrastructure, serving 100+ customers daily with cloud monitoring capabilities.
Earned IBM Certified V2.X Qiskit Developer - Associate certification, validating proficiency in quantum circuit design, error mitigation, and hardware optimization.
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.
Technical 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.