• Eliminated 100% of unstructured LLM output parsing complexity, enabling real-time structured diagnosis extraction of urgency levels, confidence scores, and cost estimates, by engineering a novel XML-embedded JSON pattern within AI API responses with server-side regex extraction, turning ambiguous AI outputs into actionable, decision-ready data for clients.

• Influenced early stage revenue opportunities by synthesizing insights from client-facing teams to identify unmet service gaps, providing strategic recommendations that aligned internal capabilities with real customer demand.

• Designed and deployed an AI-assisted workflow automation operating system (n8n), replacing manual execution across multiple client pipelines and serving as the system of record for task routing, follow-ups, and status tracking.

• Engineered and maintained scalable full-stack applications using Next.js, React, and Tailwind CSS, integrated with a Dockerized Django and Wagtail CMS backend.

• Leading cross-functional team in building a full-stack web application for F-1 visa holders to discover H-1B sponsorship opportunities, managing product roadmap and sprint planning using Agile Scrum methodology.

• Architecting and developing RESTful APIs with Django REST Framework and PostgreSQL on AWS RDS, implementing JWT authentication and designing scalable database schemas for job listings and user applications.

• Received Ministry of the Interior Award - This certificate is awarded to Chia-Peng Wu, the 217th phase national alternative service draftee, for his outstanding performance and worthy of being a role model during alternative service.

• Received Emergency Medical Technician (EMT-1) license.