Experience
Internships, research, and technical depth
From React and AWS product work to reinforcement learning research and defense-focused prototypes.
Software Engineering • AI/ML • Cloud
Building practical systems that connect research, product thinking, and reliable engineering.
I am a Computer Science student at Virginia Tech focused on machine learning, cloud platforms, and full-stack development. My work spans internships, defense and academic research, and hands-on product builds.
3
software internships
3
research and fellowship roles
ML
cloud, AI, and product-oriented builds
Portfolio Overview
Where the work shows up
Each section highlights a different side of how I build: shipping product features, exploring research questions, and turning ideas into usable software.
Projects
Applied builds across ML, HCI, and software
Selected work spanning prediction models, NLP tooling, and a team-built municipal park app.
About
How I approach learning and building
A quick view into my background, interests, and the kinds of teams and problems I am drawn to.
Certifications
Cloud, machine learning, and networking foundations
Verified certifications that reinforce the systems and AI work featured throughout the site.
Software Engineering
Building maintainable backend and frontend features with an emphasis on performance, testing, and delivery.
Machine Learning
Applying models where they are useful, measurable, and grounded in clear product or research outcomes.
Cloud + Systems
Using platforms like AWS and Azure to make tools more scalable, resilient, and production-ready.