Local-First Architecture / Python & SQLite
Engineered an autonomous, Full-Stack biometric monitoring ecosystem. Deliberately bypassing modern cloud-based SaaS, I built a Local-First architecture that guarantees zero-latency I/O operations and absolute data sovereignty. This platform demonstrates the power of returning ownership to the user without sacrificing systemic capabilities.
The infrastructure runs on a lightweight Python (Flask) backend coupled with a relational SQLite database, while the frontend operates on pure Vanilla JS and native CSS—eliminating the overhead of heavy frameworks. Instead of building complex, bloated UI drag-and-drop planners, I integrated deterministic AI pipelines. By engineering strict system directives (AGENTS.md), I forced LLMs to act as data-entry microservices, converting natural language into perfectly formatted, import-ready CSVs.
Data Sovereignty Command Center
LOCAL-FIRST ONLINEOutbound Requests
0
Cloud Dependency
NONE
SQLite Write Latency
1.42 ms
Data Ownership
100% LOCAL
The architectural choice is measurable, not ideological.
A local database is useless if the code is fragile. The entire development cycle was orchestrated using Autonomous Agents and Vibe Coding methodologies, culminating in a highly stable v1.0.0.0 release. To ensure military-grade reliability, the ecosystem is shielded by comprehensive automated E2E testing via Playwright, successfully validating 97 critical test cases with zero blocking defects.
QA Shield Wall
0/97 Critical Cases
Check-in API
0Workout Engine
0Plans CSV
0Progress KPIs
0Backup/Restore
0UI Navigation
0Release v1.0.0.0 closed with zero blocking defects.
