Education
Penn State University, Bachelor of Science in Computer Science and Cybersecurity
Work Experience
Port Authority of NY & NJ, Traffic Application Developer (Contract)
05/2025 – Present | New York
  • •Built a full-stack traffic sign and live facility monitoring web app managing 1,000+ signs and real-time feeds across PANYNJ infrastructure, cutting manual data entry by ~60%.
  • •Engineered cross-widget map, list, and timeline interactivity on live GIS feature layers, reducing average sign lookup time from ~8 min to under 90 sec.
  • •Led zero-downtime migration of 3 production ArcGIS apps to PANYNJ's internal Enterprise instance, eliminating third-party access to sensitive infrastructure data.
  • •Authored a 25-step migration runbook across 3 stakeholder groups, reducing migration risk window by 40%.
    • Edgeline Analytics, Forward Deployed Engineer (Contract)
    01/2025 – Present
  • •Architected and built a full-stack web application to forecast student enrollment data using ChatGPT at public schools in Michigan using Python (Flask, Prophet, XGBoost) for the backend and JavaScript with ChatGPT API calls (Chart.js) for a dynamic frontend.
  • •Implemented a chat-driven interface to generate and visualize complex time-series predictions on demand.
  • •Developed interactive charts displaying historical data, future forecasts, and calculated growth rates to provide actionable insights.
  • •Refined the UI/​UX through multiple iterations, adding features like informational popups and streamlined navigation based on client feedback.
    • Billtrust, Software Development Engineer in Test
    05/2022 – 05/2025
  • •Architected a data-driven C#/​.NET test automation suite to validate Mastercard billing workflows (~$10M annual volume), improving test reliability and coverage.
  • •Developed and maintained end-to-end Cypress test suites for micro-frontends and legacy systems, increasing UI stability and early defect detection.
  • •Simulated real-world asynchronous flows using AWS SQS and SNS to enable robust and realistic regression testing.
  • •Integrated test suites into CI/​CD pipelines (Jenkins, Azure DevOps), reducing total test execution time by over 85%.
  • •Boosted frontend test coverage from 45% to 88%, significantly cutting manual QA effort and increasing deployment confidence.
  • •Built internal tooling and n8n workflows to automatically alert the team of flaky tests, test failures, and QA risks, enhancing response time and overall test health.
    • Skills & Certifications
    Languages & Frameworks
  • •Java, JavaScript, TypeScript, Python, C#, Selenium, Cypress, .NET, Angular, Protractor, COBOL, Ruby, Flask
    • Certifications
  • •Security+, AWS Cloud Practitioner
    • Projects
    AI-Based Intrusion Detection System (IDS)
  • •Built a machine learning-based anomaly detection system in Python (TensorFlow, Scikit-learn, XGBoost) to identify malicious network traffic and cyber attack patterns.
  • •Engineered network flow features and trained classification models to detect phishing, brute-force, and DDoS attacks with 90%+ accuracy
  • •Developed a Flask REST API and dashboard to visualize threat scores, attack classifications, and real-time security alerts.• Containerized with Docker and deployed on AWS; integrated automated alerting to simulate SOC/​SIEM workflows.