Currently working on implementing the ability to save session links. Created a responsive website for the Finiverse project, and created web features for a data visualization platform.

Enhanced critical student loan application features to deliver precise college cost projections, utilizing PostgreSQL for robust data management and Spring Boot for API development. Contributed to creating a downloadable summary feature, integrating Income-Driven Repayment (IDR) loan calculations. Additionally, implemented the "calculate multiple simulations" endpoints, which employed a comprehensive simulation model running 1,000 iterations to project median salary outcomes. These simulations considered variables such as state of residence, Student Aid Index, Pell Grant amount, family contribution, Parent PLUS loans, additional funding sources, SOC code, average starting salary, and total loan amount.

Managed sponsor outreach, program planning, and email marketing. Promoted the America Tour/Hackathon. Created a Free Artificial Intelligence Summer Program that teaches people how to use libraries like Pandas, Keras, and matplotlib and applicational abilities in order to utilize these skills in the workforce.

Lead programmer for 2 teams simultaneously 22279, and 22284. Created an autonomous program for our robot using Computer Vision (TensorFlow) and utilized encoders as well as OpenCV to complete Pure Pursuit algorithms in FIRST Robotics Tournaments. Qualified for States and won PA RoboJawn 2024 as well as being awarded the Motivate and Connect award.

Developed and trained state-of-the-art AI models, including XGBoost, LightGBM, CatBoost, Random Forest, K-Means Clustering, and Graph Neural Networks (GNNs), on an emerging alternative (known as SMBJ) to traditional PCR techniques used for genetic sequencing and identification. After meticulous hyperparameter optimization, these models demonstrated exceptional performance, consistently achieving over 99.9% accuracy, even when distinguishing between molecules with a single codon mismatch. In addition to their accuracy, some models achieved remarkable processing speed, analyzing up to 100,000 samples in just 250 milliseconds. This breakthrough highlights the transformative potential of AI-driven approaches in revolutionizing genetic sequencing/variant detection with unparalleled precision and efficiency. I believe this research may help pave the way for real-world deployments in clinical and diagnostic settings.

Completed an intensive AP Computer Science A prep course taught by University of Pennsylvania students. Gained proficiency in Java programming, problem-solving, and exam strategies through hands-on coding exercises and collaborative projects.

Interned under accomplished lawyers, engineers, and scientists with experience in UPenn's Penn Carey Law, Penn Arts and Sciences, and Penn Engineering. Completed tasks in these fields and had formal discussions as well as being featured in Student Spotlight.

Explored various engineering fields including Computer Science, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Bioengineering, and Materials Science. Engaged in fast-paced, self-contained lessons led by passionate Penn undergraduates, gaining practical skills and a deeper understanding of engineering.