Franklin Paulus | Systems Builder

Featured Work

Web-based Business Data Dashboard for Luna NYC Electric Corp.

In-house custom built dashboard for operational data management and reporting

Deployed on a self-managed company Linux Server using proper security configurations
Querying data from company PostgreSQL database, secured with proper access controls
Layout built with responsive design principles
Role-based access design

S&P 500 Sector Analyzer

Deployed stock market website which analyzes each sector in the S&P 500 index.

Relational data modeling with PostgreSQL
Developed APIs to fetch data from yfinanceapi to retrieve insights
Vanilla CSS and React for frontend development
Tested with Python unittest framework and Jest

Multi-Tenant Data Platform

Infrastructure and deployment architecture for a web-based multi-tenant business data platform.

Designed a multi-tenant application architecture supporting isolated data environments
Deployed containerized application services on a Linux VPS
Configured public web access while restricting database connections to approved devices
Implemented PostgreSQL within a Docker environment with controlled network exposure
Structured deployment to support future tenant onboarding and system scaling

Web Application (Multi-Tenant Dashboard)

Containerized Services

Reverse Proxy + HTTPS Routing

PostgreSQL Database (Dockerized)

Restricted Database Access Controls

Designed and deployed a containerized environment supporting a multi-tenant web application accessible via HTTPS. Database services run inside a Docker container with restricted access controls, allowing application traffic while limiting direct database connectivity to approved internal devices.

Professional Experience

Systems + Software Engineer: Luna NYC Electric Corp.

Secured a Linux VPS with PostgreSQL using UFW firewalls and Tailscale for device-only access
Designed relational database schemas to improve data integrity and query performance
Built a Dockerized dashboard using JS, Python, and SQL for tracking company operations
Automated fixture pricing and SQL inserts with a Python data pipeline
Processed field data with Power Query to generate daily invoicing and cashflow metrics
Analyzed payroll data with Python and SQL to ensure accuracy and tax compliance

About

Self-taught since 2022 while working full-time. Focused on backend systems, database architecture, and infrastructure-aware software design.

Contact

Email: [email protected]

LinkedIn: www.linkedin.com/in/frank-paul-12345

Building production-ready systems.