Present
Technical lead for CDS Compute Cluster, a project that aims to develop a computational cluster for the Cornell Data Science Project Team.
Spring 2025
Developed a parallelized radix sort algorithm to sort 10,000,000 random signed 32-bit integers. Achieved 1.5x speedup over the std::sort serial implementation and 3.5x speedup over serial radix implementation.
Spring 2025
Built a career networking app with 3 teammates (Rahul Basak, Boss Lertdamrongwong, Rohit Vakkalagadda) that identifies university alumni in specific roles at target companies, auto-generates meeting requests based on user resume and availability, and supports email sending/editing. Integrated ProxyCurl, Firebase, OAuth, and Gmail APIs. Won the 2025 Cornell Data Science new member hackathon.
Spring 2025
Custom NFL datasets (2014–2024) with PyTorch neural network for playoff predictions. Model correctly forecast 10 of 13 games, outperforming sportsbook accuracy (8/13). Achieved 78% accuracy for 2024-25 season.
June 2023
Differential gene analysis on RNA reads from wild and domestic tomato cross. Identified 24 genes with significant impact on nutrition and flavor using Python, Java, R, HISAT2, Trimmomatic, Bowtie, and FeatureCounts.