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Notes on backend development, zero-server architecture, and running AI locally.
Running local LLMs means private data stays on your machine, zero per-token costs, and full control over models and prompts. Here is why local models are my default for daily AI tooling.
ejobtrack is a zero-server job application tracker that syncs Gmail via OAuth 2.0, parses status updates from LinkedIn, Indeed, and 50+ ATS, and runs ML inference on-device with Transformers.js — no tokens or email data ever leave the browser.
As a DOST Region V backend intern, I led a 3-person team building REST API microservices in TypeScript and Node.js, refactored services from Clean Architecture to MVC, and integrated PostgreSQL, Docker, and Jest into an Agile workflow.