Computer Science student at UNH specializing in cybersecurity — building systems that protect infrastructure, automate intelligence, and surface what matters.
About
I'm a senior Computer Science student at the University of New Hampshire, concentrating in cybersecurity. My work sits at the intersection of network security, automation, and systems engineering — turning raw data into actionable intelligence.
At the UNH Interoperability Lab, I've spent over three years testing Ethernet standards from 10M to 25G, leading intern teams, teaching new hires, and adapting quickly to an ever-changing project landscape. I take pride in mentoring the people around me just as much as I do in shipping reliable work.
I'm a firm believer in leveraging modern AI tools — including Claude and ChatGPT — to multiply the quality and volume of work I can deliver, without ever compromising on fundamentals.
Skills & Expertise
A blend of software, hardware, and people skills built across the lab bench, the classroom, and real-world projects.
Threat detection, log analysis, incident classification, and network security monitoring using industry-grade tooling and open-source intelligence.
Hands-on experience with AWS, Azure, and GCP for deploying, configuring, and managing cloud infrastructure and services.
Full-stack development from Python automation pipelines and Flask web apps to front-end dashboards and RESTful data interfaces.
Deep expertise in IEEE 802.3 testing (10M–25G), cable plant construction, interoperability certification, and SMT/through-hole/SMA soldering for PCB assembly and prototyping.
Proficient in leveraging Claude, ChatGPT, and other AI tools to solve complex problems faster, increase output quality, and scale the volume of work delivered without sacrificing precision.
Led intern teams on robotics and automation projects, onboarded and mentored new hires, and thrived in dynamic teams where priorities shift quickly. Agile-native with real sprint discipline.
Experience
Professional roles that shaped how I think about systems, reliability, and people.
Featured Project
University of New Hampshire · Aug 2025 – May 2026
Engineered a Python automation pipeline to parse and process 1,000,000+ line network traffic log files from the university's Palo Alto firewall infrastructure, replacing a fully manual review workflow and reducing operator processing time by a 10:1 margin.
Built a threat classification system that surfaces critical-severity security events by cross-referencing open-source threat intelligence reports and vulnerability detection service feeds — enabling faster incident response for network administrators. Results are published automatically to an Apache-hosted web dashboard built with Flask and HTML, providing a single centralized interface for real-time log querying, data visualization, and trend analysis backed by SQLite.
Led a two-team engineering group through Agile sprints (GitLab), coordinating the data visualization team and the threat intelligence/automation team simultaneously from concept to delivered product.
Whether you're looking for a cybersecurity engineer, a sharp intern, or just want to talk shop — I'd love to hear from you.