About Me
I'm a multidisciplinary student at Johns Hopkins University pursuing degrees in Computer Science, Physics, and Applied Mathematics & Statistics. My passion lies at the intersection of quantum computing, machine learning, and software engineering.
With experience at Amazon AWS, Sierra Nevada Corporation, and the JHU Quantum Computing Theory Group, I bring a unique combination of technical skills and research experience to challenging problems.
Technical Skills
- Programming: Java, Python, C/C++, SQL, JavaScript
- Web: HTML5, CSS3, Bootstrap, Flask, React
- ML/AI: TensorFlow, PyTorch, scikit-learn
- Quantum: Qiskit, Cirq, Quantum Algorithms
- Tools: Git, Docker, Unix/Linux, MATLAB, AutoCAD
Education
Johns Hopkins University
B.S. in Computer Science, Physics, and Applied Mathematics & Statistics
- Vice President, Alpha Epsilon Pi Fraternity
- Member, iBailai Latin Dance Team
Work Experience
Incoming SDE Intern
Amazon (AWS) | Summer 2025
- Incoming Software Development Engineering Intern
Software Engineering Intern
Sierra Nevada Corporation
- Spearheaded design and implementation of robust system to test timestamp accuracy in SDR RF communication down to nanosecond scale (88ns resolution)
- Developed core software components in C/C++ using Sidekiq API for system integration
- Employed Docker for creating scalable development environments
- Led integration of Django web framework and FastAPI for internal testing platform
- Deployed applications to production with Azure CI/CD pipelines
Machine Learning & Data Analysis Researcher
JHU Quantum Computing Theory Group
- Used TensorFlow in Python to develop Deep Learning model for quantum system characterization
- Analyzed training data to derive ideal model for processing simulated quantum circuits
- Translated quantum mechanics foundations into testable code for noise characterization
- Gained expertise in quantum programming (Qiskit, Cirq)
Mechanical Engineering Intern
U.S. Army Corps of Engineers
- Designed mechanical systems for biochemistry lab using AutoCAD
- Created HVAC and exhaust system for six-building complex
- Contributed to project documentation ensuring federal compliance
Projects
Smart-Alect Hackathon App
Flask, Google Maps API, Twilio
- Emergency response communication app connecting responders, businesses, and civilians
- Implemented location-based emergency contacts and custom instructions
- Developed admin page for geo-location mapping and emergency protocols
- Presented functional prototype to judging panel
Skin Cancer Detection ML Model
Python, TensorFlow, scikit-learn
- Developed ML model to differentiate benign/malignant skin moles
- Implemented deep convolutional neural networks (CNNs)
- Achieved 79.8% accuracy on validation data
Navy Federal Credit Union Co-op
UX Design
- Redesigned customer experience for new credit union members
- Iteratively refined UI based on user feedback
- Focused on accessibility and visual consistency