Software
architecture
Solution design and systems integration, informed by Domain-Driven Design, Clean Architecture, and microservices.
BOUNDARIES / CONTRACTS / DATA
The starting point
An existing media asset platform handled ingestion and storage, but search depended on asset names and manually written descriptions. A separate, GPU-intensive AI processor could produce timestamped transcripts, semantic tags, recognized entities, and embeddings. The integration had to account for those outputs becoming available at different times.
The design
I proposed separating the integration into three responsibilities: asynchronous job coordination, a thin adapter to the external AI processor, and semantic indexing with vector search. Coordination handled submission, monitoring, retries, and notifications as outputs became available. This kept AI processing separate from job management and search indexing.
My role
As Principal Technical Lead, I was responsible for the solution design, contributed code, and supervised a team of five developers and testers who delivered the services. I used AID directly for agentic coding during delivery.
What shipped
The services are now in production. They connect AI-generated media information with semantic indexing and vector search, alongside the platform's existing ingestion and storage capabilities.