Benedict San Juan
AI/Software Development
I'm Benedict, a 4th-year Computer Science student at De La Salle Lipa who builds practical web products across the stack. I care about the details users never see, like clean data access, clear contracts between teammates, and edge cases caught before they ship.
I'm currently a Front-end Developer Intern at Cortico Health Technologies. Before that, I led backend at ANIMO.DEV for Project QOL, an attendance system for campus organizations.
Selected work 05
A full-stack app that helps pet owners reach veterinary support from home through consultations, prescriptions, medicine delivery, records, and reminders.
C(Old) (ST)art Hackathon 2025, 1st Runner Up and People’s Choice
- Designed around three roles: pet owner, veterinarian, and pharmacist.
- Turned a surprise hackathon theme into a working digital veterinary-care flow.
- Built secure flows for consultations, prescriptions, orders, and pet medical records.
A campus attendance platform that simplifies event check-ins and validation across multiple organizations.
- Built Next.js Server Actions and a dedicated data access layer, keeping client, server, and database concerns separate.
- Integrated the Student API into an RFID-based attendance flow.
- Implemented time-bound event codes, access validation, and duplicate checks before saving attendance.
A marketplace for DLSL students to list, discover, and search products within their community.
- Built a REST API across 12 route modules, split into controllers, services, validators, and middleware.
- Added semantic product search with Gemini embeddings stored in MongoDB for similarity search and recommendations.
A role-based operations platform for 14 ancillary departments of Mary Mediatrix Medical Center.
- Built department-scoped dashboards with month-over-month and year-to-date KPI views.
- Supported multiple organizational roles and access levels.
- Worked directly with hospital stakeholders during onboarding and rollout.
An undergraduate thesis that listens for the wingbeat of Aedes aegypti on an ESP32-S3 and hands the decision to a separate controller for repellent delivery.
- Worked on embedded integration, deployment, and device-side audio processing.
- Quantized 2D-CNN running at 938 ms per inference window, measured on device.
- Events report to a Supabase-backed React operator dashboard.
Experience
Cortico Health Technologies
ANIMO.DEV, Developer's Society of DLSL
Led backend for a multi-organization attendance system on Next.js and Supabase. Set up a shared database access layer, designed event-code validation and duplicate checks, and documented the backend contracts the team built against.
Recognition
- 1st Runner Up and People’s Choice, C(Old) (ST)art2025
- 3rd Place, OGIS IGNITE PH2025
- 3rd Place, CodeKada2025
Stack
- Languages
- Python, JavaScript, TypeScript, SQL
- Backend
- Node.js, Express, Next.js Server Actions, REST APIs
- Frontend
- React, Tailwind CSS
- Data
- PostgreSQL, Supabase, MongoDB