Computer Science student at Virginia Tech with enterprise experience at Collins Aerospace and startup experience at Nora AI and Knowmadics. Specialized in infrastructure, full-stack development, automation, and AI/ML applications.
I'm a Computer Science student at Virginia Tech pursuing both a B.S. in Computer Science with a Mathematics minor (Expected December 2025) and a Master of Engineering in Computer Science and Applications (Expected December 2026).
I have diverse experience across enterprise and startup environments. At Collins Aerospace (RTX), I worked on enterprise-scale infrastructure automation, while at startup companies Nora AI and Knowmadics, I developed full-stack applications and business solutions. I'm passionate about building scalable solutions and have won two startup competitions at Virginia Tech.
Virginia Tech CS student with Mathematics minor, maintaining 3.60 GPA. Winner of Virginia Tech Startup Sprint 2023 Grand Prize ($2500) and Virginia Tech Spring Entrepreneurship Challenge 2025 ($500 Grant).
Enterprise experience at Collins Aerospace (RTX) building infrastructure automation, plus startup experience at Nora AI and Knowmadics developing full-stack applications and business solutions.
Full-stack development, cloud infrastructure, AI/ML applications, and automation tools. Proficient in modern frameworks from React to ASP.NET Core.
I'm always interested in new opportunities and challenging projects. Let's discuss how we can work together.
Get In TouchMy journey in software engineering and business analysis across various industries.
Collins Aerospace (RTX)
Knowmadics
About Knowmadics →Knowmadics
About Knowmadics →Nora AI
About Nora AI →Here are some of the projects I've worked on recently.
Cross-platform desktop application to monitor real time upload/download speeds across multiple interfaces
Full-stack web application promoting eco-friendly shopping by offering alternatives to fast fashion items
Custom Neural Network implementing feedforward and backpropagation algorithms with 97% accuracy with a 4-layer architecture on identifying written numbers + Visualizer to help people understand how neural networks work
Full-stack web application that helps remote companies build a work culture. Over 100+ active users
Aviate.ai uses machine learning to identify bird calls in real time during hikes and image detection on user photos, sending the data to researchers to track and protect bird populations.
Built a mock Ring doorbell on a Raspberry Pi 4 to recognize visitors as known or unknown and send me a text alert accordingly.
I work with modern technologies to build scalable and efficient applications.
Proficient in multiple programming languages for full-stack development and system programming.
Modern web frameworks, mobile development, and database technologies for scalable applications.
AWS services, Kubernetes, Docker, CI/CD pipelines, and infrastructure automation with GitOps.
Frontend technologies, styling frameworks, and design tools for modern web applications.
Machine learning frameworks, data analysis, and automation tools for intelligent applications.
Testing, project management, and development tools for efficient software delivery.
Get a detailed overview of my experience, skills, and projects in a comprehensive PDF format.