High school student passionate about machine learning, data science, software development, and building impactful solutions. Currently working on Hi-Lite, a social networking site for high school students.
Machine learning-based exam proctoring system with real-time face detection, multi-face alerts, and a clean web interface for monitoring exam integrity.
ML-powered resume screening system using TF-IDF and Logistic Regression to score resumes 0-100 for ML/SWE role fit with explainable keyword analysis.
Personal finance management app with transaction tracking, income/expense categorization, visual spending analytics, and secure user authentication.
Research on Mean-Variance Optimization, analyzing how stock selection and market conditions (2020-2023) impact portfolio risk and returns.
Software Intern — Developing TensorFlow-based predictive models for rainfall patterns and flood risk identification in Raleigh. Collaborating with PhD researchers on geospatial data integration.
Data Lab Member — Analyzing athlete data and building predictive performance models using AI techniques for real-world training scenarios.
Research Assistant — Conducted research on Mean-Variance Optimization under Dr. Hamid Semiyari, implementing solutions in R with quadprog package for optimal asset allocation.
Research Intern — Focused on biofabrication and commercialization. Developed 3D printable solution for Gastroesophageal Reflux Disease with comprehensive market analysis.
Vice-President — Leading club operations, managing fundraising initiatives, and organizing workshops and competitions to enhance technical skills among members.
Software Developer & ML Engineer
Vice-President, Computer Science Club
Machine Learning • Computer Vision • Data Analysis • Web Development • Predictive Modeling