Explicit data models
Relational structures reflect business concepts and keep connected records consistent.
Flagship case study
East Bay AV
Business OS
A purpose-built operations platform that replaces fragmented business workflows with a single, maintainable software system.
01
The problem
Customer information, job progress, billing activity, and operational history are tightly connected—but generic tools often split them across separate systems. The result is duplicate entry, missing context, and workflows that depend too heavily on memory.
The platform treats the business as a connected system: a lead becomes a customer, a customer has jobs, jobs create activity, and activity supports billing and follow-up.
01Lead intakeCapture structured requests
02Customer & jobMaintain shared context
03Work & billingTrack operational progress
04Activity historyPreserve the full record
Interface layer
Public lead intake
Administrative workflows
REST endpoints
Application layer
FastAPI
Authentication & authorization
Business rules
Data layer
PostgreSQL
SQLAlchemy models
Alembic migrations
Controlled change
Schema migrations make database evolution repeatable across environments.
Protected behavior
Automated tests cover critical application and API workflows as the system grows.
Operational ownership
Linux deployment experience informs logging, configuration, and maintainability.
Customer context
Contact details, relationship history, and operational notes stay attached to the customer record.
Job management
Work moves through clear stages with the information needed to coordinate execution.
Billing workflows
Billing activity connects to the job that produced it, reducing ambiguity and duplicate entry.
Controlled access
Authentication and authorization protect administrative workflows and sensitive records.
Structured interfaces
API-first boundaries support maintainable internal workflows and future integrations.
Automated confidence
Pytest coverage helps catch regressions in the behaviors the operation depends on.
Outcome
Software shaped by direct operational feedback.
The project demonstrates the full engineering loop: identifying an expensive workflow problem, translating it into a domain model, implementing the application and data layers, testing critical behavior, and operating the result.
This case study intentionally omits customer data, credentials, internal URLs, and private infrastructure details.