Michael Lu

IT professional with hands-on experience architecting workflow logic and directing AI-assisted development to build automation, intelligent document processing, and secure IT tools within regulated, high-volume environments. Designs system requirements and decision logic, then iteratively directs AI coding tools to implement Python and Chrome extension solutions combining OCR, rules-driven logic, and browser automation (Selenium, Playwright). CompTIA Security+ and ISC2 Certified in Cybersecurity (CC), with working knowledge of HIPAA/PCI DSS compliance, vulnerability remediation, and secure systems support.

B.A.

Computer

Science, Rutgers University.

Prior Authorization Specialist & AI Automation Developer - Better Skin Dermatology - Jersey City, NJ

(2025-07)

• Architected the workflow logic and functional requirements for a suite of automation tools (Python, Chrome Extensions, OCR/Tesseract), then directed step-by-step AI-assisted development to implement each component — redesigning the practice's medication prior authorization workflow end-to-end and raising the insurance approval rate from 71.3% to 92%+ within one year.
• Independently processed 100+ prior authorizations per day using self-built automation — more than tripling the department's prior daily throughput of ~30 — while cutting average case handling time from up to 10 minutes to approximately 30 seconds.
• Developed an intelligent document-processing pipeline (OCR/Tesseract) to automatically capture, classify, and route medication approval records, chart notes, and incoming faxes to the correct patient record, eliminating manual sorting.
• Built a rules-based decision engine covering 8+ insurance carriers that auto-identifies a patient's medication and carrier, then populates authorization forms and dynamic questionnaires of up to 50 medication-specific questions — cutting per-case handling time by 95%.
• Partnered with a teammate to build a Selenium-based scheduling automation tool consolidating multi-location, multi-provider appointment data into a shared report used by 20+ staff.
• Operated within a HIPAA/PCI DSS-compliant environment, ensuring all automated tools preserved patient data privacy and regulatory compliance.

IT Support Technician - PGM Billing - Lyndhurst, NJ

(2020-01 - 2023-09)

• Supported 200+ client systems, performing system resets, patching, and infrastructure maintenance across Windows/Linux environments.
• Reduced system vulnerabilities by 30% through coordinated patching and remediation, strengthening the organization's overall security posture.
• Maintained HIPAA and PCI DSS compliance across supported environments to safeguard client data privacy.

B.A. - Computer Science - Rutgers University