The Pennsylvania State University, University Park

B.S. in Computer Science, Minor in Entrepreneurship and Innovation

May 2026

Programming & Development

Python, JavaScript, C, Ruby on Rails, Solidity, SQL (PostgreSQL), React.js, Next.js, Node.js, Firebase, APIs, HTML/CSS, Git/GitHub

Machine Learning & Cloud Technologies

TensorFlow, PyTorch, LangChain, Scikit-learn, Pandas, NumPy, Large Language Models (LLMs), AWS, Docker

Tools & Productivity

Figma, Jira, Notion, WordPress, HubSpot, Microsoft 365

• AI Agents with RAG & LangChain – IBM, Jun 2025
• AI & Blockchain Certificate – Google, May 2025
• Deep Learning & Neural Networks – IBM, Jun 2025
• Fake News Detection with Machine Learning – Coursera, May 2025

Library Strategic Technologies | Penn State University Libraries

Software Development Intern | Oct 2025 – Present

State College, PA

• Developing and maintaining Ruby on Rails web applications for the Penn State Libraries, supporting 40K+ students and faculty across the university.
• Solving engineering tickets, performing code reviews, and collaborating in an agile, test-driven environment.

Blockchain Data Intelligence Lab | Penn State University

Lead Researcher | Feb 2025 – Present

State College, PA

• Developing QLink, a quantum-safe Layer-3 interoperability protocol integrating Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to secure cross-chain blockchain bridges.
• Simulated a 7-validator QLink network over 5-50 km QKD fiber links, achieving up to 707× surplus key throughput and <1 s latency, outperforming classical blockchain bridges by >400x in cross-chain key refresh rate.

Happy Valley LaunchBox | Penn State Startup Accelerator

Innovation and Operations Intern | May 2023 – Jul 2024

State College, PA

• Spearheaded the integration of HubSpot CRM with a new internal UI, centralizing engagement data for 40+ active startups and improving reporting visibility by 45%.
• Automated workflows using AI in Power Automate to handle email communications and data extraction, increasing team efficiency by 30%.
• Judged multiple startup pitch competitions and provided strategic feedback to early-stage founders.

Swift | Sustainable AI Initiative

Founder | Jan 2022 – Apr 2022

• Led a 7-person interdisciplinary team in a university-wide AI competition to address sustainability challenges.
• Developed an AI-driven solution that enhanced solar and wind energy output prediction accuracy, improving system efficiency by 35% and placing in the Top 20% overall.

ZorAi – Full Stack Decentralized App | Next.js, React, TypeScript, Solidity, OpenAI

Built platform to register and verify AI-generated images on the blockchain to combat misinformation. Used OpenAI API + Pinata (IPFS) + Solidity on Polygon blockchain to link images with smart contracts.

QLink – Quantum-Safe Layer 3 Protocol | Post-Quantum Cryptography, QKD

Quantum-safe Layer-3 interoperability protocol integrating Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to secure cross-chain blockchain bridges. Simulated a 7-validator QLink network over 5-50 km QKD fiber links, achieving up to 707× surplus key throughput and <1 s latency, outperforming classical blockchain bridges by >400x in cross-chain key refresh rate.

Insurance Cost Prediction | Python, Scikit-learn, XGBoost, Seaborn, Matplotlib

Designed and implemented end-to-end ML pipeline, from data loading and cleaning to feature engineering, model validation and evaluation. Benchmarked models including Linear, Ridge, Lasso, Random Forest, Polynomial, and XGBoost; tuned hyperparameters with GridSearchCV. Achieved top performance with XGBoost (R² = 0.868); reduced MAE and MSE by 35% compared to baseline models.

B3 Stock Clustering | Python, PCA, K-Means, GMM

Clustered Brazilian stocks by price behavior using K-Means and GMM; validated with silhouette score. Reduced data with PCA for visualization; explained grouping of companies in business terms. Built end-to-end notebook pipeline with clear analysis and plots.

Banking Customer Clustering | Python, Scikit-learn, K-Means

Performed customer segmentation analysis using unsupervised machine learning techniques. Applied K-Means clustering to identify distinct customer groups based on age, income, and spending behavior. Created detailed cluster profiles and visualizations to enable targeted marketing strategies.

Blockchain Rio 2025 - Event Timeline | React 18, JavaScript, Styled Components

Built real-time event management system for Blockchain Rio 2025 conference with timeline across 14 stages, live status updates, organizer dashboard with cascade delay management, and mobile-first design for 40+ events.

Breast Cancer Prediction | Python, Jupyter Notebook, Healthcare AI

Developed machine learning model for breast cancer prediction using clinical diagnostic features. Applied various classification algorithms including logistic regression, SVM, and ensemble methods to achieve high accuracy in malignant vs benign tumor prediction.

Nittany Entrepreneur Society

Web Development Team and Outreach | Jan 2024 – Present

Designed and developed the club website, managing a community of 700+ members and coordinating recruitment efforts