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
AccessInvest – Stock Outlining Assistant
MongoDB, React, Node.js, Google Gemini API
- Developed a full-stack web application that provides users with personalized portfolio insights and suggestions on stocks they own by giving daily updates based on financial filings, news, and trends in the stock market utilizing AI
- Aggregated and processed financial data from SEC fillings (10-K, 10-Q, 8-K, etc.), real time news sources, and multiple financial APIs
- Integrated Google’s Gemini API to perform sentiment analysis and understanding on complex financial documents, simplifying stock evaluation for everyday user based on user’s indicated knowledge on stock trading
- Utilized a React front-end alongside a MongoDB database hosted on AWS DocumentDB for scalable data storage and a seamless UX
- Finalist at MorganHacks 2025 and winner of Best Use of MongoDB
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