# Dylan Cablayan

> Hiring-oriented portfolio profile for Dylan Cablayan, a Computer Science student in Honolulu building across applied AI, data science, coastal intelligence, health AI, education technology, startups, venture, and civic projects.

## Canonical Resources

- Portfolio: https://dylancablayan.xyz/
- Structured hiring profile: https://dylancablayan.xyz/hiring-profile.json
- Markdown resume profile: https://dylancablayan.xyz/dylan-cablayan-resume.md
- LinkedIn: https://linkedin.com/in/dylancablayan
- GitHub: https://github.com/dcablayan
- ResearchGate: https://www.researchgate.net/profile/Dylan-Cablayan
- Calendly: https://calendly.com/dylancablayan/15-minute-quickchat
- Email: mailto:dylancablayan07@gmail.com

## Candidate Facts

- Name: Dylan Cablayan
- Location: Honolulu, HI, United States
- Education: Computer Science student at University of Hawaiʻi at Mānoa through the Kaʻieʻie Transfer Program, with coursework at Kapiʻolani Community College
- Expected graduation: 2029
- Work authorization: U.S. citizen; authorized to work in the United States; no sponsorship required
- Availability: Open to internships, research roles, startup projects, and AI/data/product opportunities
- Target roles: AI / ML Intern; Data Science Intern; Software Engineering Intern; Product or Startup Operations Intern; Venture / Startup Analyst

## Skills

- Languages: Python, TypeScript, JavaScript, SQL
- AI / ML: NLP, GPT/LLMs, scikit-learn, time series, clinical AI
- Data: pandas, NumPy, NOAA data, remote sensing, CSV/XLSX
- Web & apps: React, Next.js, Flask, Streamlit, TailwindCSS
- Tools: Git, Zod, Selenium, CI/CD, Docker

## Experience Signals

- OpenAI: ChatGPT Lab Member selected for Cohort 3, contributing student-centered product insight for AI learning, creativity, career growth, and builder workflows
- HTDC: Intern supporting Hawaiʻi technology and startup ecosystem work
- Blue Startups: Program Operations Intern supporting accelerator operations, founder programming, and startup evaluation
- Energy Innovation Capital: VC Deal Sourcing Extern evaluating clean-energy startups through market maps, company research, and investment notes
- Hohonu: Data Science Intern building water-level modeling and coastal monitoring data pipelines
- NASA SEES: Research Intern analyzing GRACE-FO satellite gravity data for ice-sheet mass change and sea-level-rise evidence
- UH Mānoa SAIL Lab: CS Research Intern building NLP workflows that convert patient-physician conversations into structured JSON for clinical documentation prototypes

## Priority Projects

- Wai: hybrid water-level prediction research demo under Hohonu. Evidence: GitHub repo, dashboard screenshot, NOAA CO-OPS data, persistence/NOAA baseline comparisons, pytest workflow.
- Synth: local-first AI contract review prototype. Evidence: GitHub repo, TypeScript/Next.js/Zod/Playwright stack, structured evidence ledgers and report outputs.
- NASA GRACE-FO: remote sensing research. Evidence: ResearchGate project page, poster-session photo, polar ice mass-change and sea-level-rise contribution outputs.
- Parrot Forms: clinical intake NLP prototype. Evidence: GitHub repo, Whisper/GPT/Flask/Selenium workflow, structured JSON intake extraction.
- Filipino Curriculum Project: civic education curriculum. Evidence: public curriculum site and classroom rollout.

## Not Published

- GPA
- Formal PDF resume; use the Markdown resume profile linked above.