Computer Science student at UNH specializing in cybersecurity
Experience
Professional roles that shaped how I think about systems, reliability, and people.
Skills & Expertise
A blend of software, hardware, and people skills built in the classroom, in the industy 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. Basic servers, Lambda Functions, Open ID connection, Kubernetes.
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.
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.