About
Computer Science & Finance student at UT Dallas with extensive experience as a founding engineer. Specialized in orchestrating multi-agent systems, developing scalable backend services, and creating responsive user interfaces. Passionate about AI/ML, system architecture, and building products that bridge technology and user experience.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
S&P 500 Machine Learning Predictor
Developed a machine learning pipeline to predict S&P 500 price movements using historical data fetched via yfinance library. Engineered dynamic features such as Close_ratio indicators to capture market trends. Built and evaluated models with Time-Series Cross-Validation, optimizing for Precision, Recall, F1-Score, and ROC-AUC metrics. Leveraged a Random Forest Classifier to deliver actionable insights, improving decision-making accuracy for users.
Dynamic Solfége Gesture Recognition
Designed and implemented a real-time hand gesture recognition system for detecting solfège syllables. Leveraging Google MediaPipe for robust handmark detection, the project normalizes landmark coordinates as neural network inputs-reducing the need for large training datasets. Analyzed system performance and implemented improvements, resulting in a smoother user experience. Led regular code reviews, debugging, and performance tuning, maintaining high code quality and system reliability.
Spotify top 1000 songs data visiualizer
Takes in a dataset and display visually using matplotlib, pandas, or other graphical plotting library.
Get in Touch
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