About Me
I'm a Software Engineer at Capital One, where I work on the Messaging Platform team building fullstack and backend systems. I completed my M.Eng in Computer Science at Virginia Tech in 2025, after three internships gaining experience with tools and technologies like React, Go, Java, Node.js, AWS, Docker, LangChain, and more. I love to learn about new technologies and am always looking to expand my knowledge and skill set. I am a team player and can take on leadership roles when necessary, and built these skills during my time as President of ACM at Virginia Tech, an organizer for VT Hacks, and group projects in my CS courses.
- Web Development & Design
- Fullstack Development
- Machine Learning & AI/LLM Engineering
- DevOps
- Agile/Scrum
My Projects
SkillSprint
Enter a link for a technical job posting to get your very own personalized study guide, designed to help you prepare for the job and its interviews!
Graph Neural Networks
Music genre classification is a common application of deep learning and generally uses CNNs and RNNs to identify patterns in audio features. Here, we explore Graph Neural Networks (GNNs) and their practical applications for music genre classification.
Machine Learning Blog Site
I created a dynamic blog site using R and Python to showcase various ML techniques. Each blog I authored details the ML processes I applied, from data/exploratory analysis to algorithm application.