- Engineered a full-stack site crawler using Laravel and Blade to automate site testing, reducing manual validation time from 5-6 hours to 10-15 minutes. Checks web accessibility, sitemaps, SEO best practices, security vulnerabilities, and contact forms, displaying key findings in an actionable dashboard.- Enhanced and scaled previous machine learning-based image classification app, transitioning it to Laravel and Blade, and optimized it to caption images 3x faster and search libraries of 20K+ images. Implemented pHash differential hashing to detect duplicate images despite differing resolution or minor variations.

Led 140-member team as robot’s driver during competitions, responsible for controlling all aspects of robot in real-time 3v3 matches and making split-second strategic decisions that directly impacted match outcomes.

- Developed and implemented advanced controls such as PID and state-space control, motion profiling, holonomic movement, path-planning, and localization using fiducial markers to optimize robot performance.- Designed a computer vision pipeline using OpenCV to enable autonomous pickup of game pieces on field.- Created and taught curricula to 50-member division to train effective wiring, programming, and advanced robotics concepts.

- Led organization to first-ever CyberPatriot National Finals appearances in 2023 and 2024, winning the Boeing Cyber-Physical Systems Challenge both years.- Coordinated team of 5 to secure 7 Windows Server, Ubuntu, and Fedora virtual machines while defending against an active red team of industry professionals. Simultaneously tackled real-time injects, including provisioning firewalls, deploying new services, and responding to breaches.- Created a suite of programs for rapid system reconnaissance, automated vulnerability remediation based on system state, and configuration of mail, web, directory, remote access, and file transfer services.

- Built an automated security auditing platform using Ansible and Python, continuously monitoring and eliminating 200+ vulnerabilities per server across 50+ AWS EC2 instances, based on CIS Benchmarks and DoD STIGs.- Developed a machine learning image classification application using PyTorch, React, and Express, generating captioning for alt text and filenames dynamically, and integrated Google Vision API to generate tags.