Projects using Python in DuluthProjects using Python in DuluthConstrucllo is an all-in-one construction management platform designed for contractors, project managers, and field teams. The platform connects estimating, budgeting, contracts, procurement, scheduling, workforce management, documents, daily reports, and field operations in one system.
My work focused on improving end-to-end construction workflows, backend integrations, data reliability, and production readiness across multiple connected modules.
Relevant stack: AWS, Docker, REST APIs, relational databases, document management, CI/CD, GitHub, construction workflow automation. I designed and supported automated reporting workflows that moved data from source systems through validation and transformation into databases, spreadsheets, APIs, and reporting tools.
The goal was to replace repetitive manual steps with dependable, maintainable automation. My work included API integrations, field mapping, data validation, error handling, and delivery or refresh steps using tools such as Zapier, Google Apps Script, SQL, and Python. The workflow and code shown are sanitized portfolio examples with no client data, credentials, or proprietary automation logic. 🖼️ Django API for Art Gallery Inventory
I built a simple, clean Django + DRF API for an art gallery to browse and filter artworks, artists, and storage locations.
🔧 Stack
Django 4 + DRF
PostgreSQL
Token/JWT auth
S3 for artwork images
Docker setup
🎯 Features
Filter artworks by category, technique, year, artist, or location
Artists listing with related works
Storage/warehouse filtering
Clean, documented endpoints ready for web or mobile
Light project, solid architecture, and fully extensible for future modules like sales, loans, or inventory. 
