MS Cybersecurity candidate at Penn State, graduating May 2026 with a 3.87 GPA. I build security-focused software across identity threat detection, browser automation, and technical operations tooling.

I am currently looking for cybersecurity, software engineering, and technical operations roles where I can combine secure software delivery with practical automation.

• 2 years of professional experience at Secure Meters Ltd. building security-focused C#/.NET backend tooling and automation.
• Graduate Teaching Assistant at Penn State for a cybersecurity course.
• CompTIA Security+ certified, with project work spanning detection engineering, GRC support, browser automation, and secure systems operations.

Behavioral ML detection pipeline for identity threats using Python, scikit-learn, and Streamlit. Trained on 200,000 real authentication events from the RBA dataset with 27 engineered features and a Random Forest + HistGradientBoosting ensemble.

Key result: 95.4% accuracy and 73.5% precision, reducing false positive rate from 49.9% to 3.5% compared with a rule-based baseline.

Active development project: a local-first job application assistant built with Next.js, Prisma, Playwright, and the Anthropic API. It combines resume/profile extraction, job-source ingestion, ATS detection, human-in-the-loop review, and browser automation for application workflows.

Self-hosted USCIS case tracker built with Node.js, Express, Playwright, and PWA push notifications. I built it to track my own immigration case with local data storage, mobile-first status monitoring, and real-browser session handling for USCIS status checks.

I am hardening ApplyAI, expanding my AWS/cloud security project work, and building practical detection automation around logs, infrastructure as code, and identity signals.