Machine Learning Researcher

Systems Optimization and Machine Learning Lab (SysOptiMaL) | August 2023 – Present

• Designed a deep learning transformer to solve NP-hard problems within 0.0% of optimality.
• Built systems to train 10+ million parameter models on Advanced Research Computing super computers.
• Authored a research paper documenting novel findings soon to be published in the IISE national conference.

Machine Learning Engineering Intern

United Airlines | May 2023 – August 2023

• Designed machine learning algorithms to improve airport congestion and available turnaround time for over 5000 flights daily.
• Reduced airport congestion by 11% during peak hours using artificial intelligence techniques.
• Increased the amount of time available for plane turnaround by 10% while maintaining current levels of utilization.

Software Engineering Intern

Exelaration | December 2021 – August 2022

• Developed features for client company's data analytics and operation portal in C# and TypeScript.
• Lead the creation of validation systems for clients PowerBi dashboard.
• Implemented features with Agile workflow with a team of 4 using GIT and Azure DevOps.

Virginia Tech

BS, Industrial and Systems Engineering | Minor, Computer Science

Expected Graduation: May 2025

University of California Berkeley

Dual Enrollment, Computer Science | June 2019 - August 2020

Deep Learning for NP-Hard Problems

Developed a novel approach using transformers to solve complex optimization problems.

AI-Driven Airport Optimization

Implemented machine learning models to enhance airport efficiency and reduce congestion.