Connected local Whisper transcription, model scoring and searchable transcript turns in a FastAPI application, with two authored demonstration cases.
- whisper
- local-models
- retrieval
- evidence
travis@smith
travis@smith:~$
I build AI applications that connect models, documents and business workflows: retrieval systems, MCP servers, structured output and working product prototypes.
Founder of Exigere Solutions: medical transcription, documentation processing, report preparation and quality assurance.
I own requirements, architecture, integration and evaluation, using AI-assisted development to move from an idea to a working prototype. I am proficient in AWS and Microsoft Azure. My Private AI Lab runs open-source models on owned workstation hardware.
Connected local Whisper transcription, model scoring and searchable transcript turns in a FastAPI application, with two authored demonstration cases.
Built serial telemetry parsing, an asynchronous WebSocket dashboard and an Ollama copilot that interprets telemetry snapshots. Includes a synthetic replay demonstration.
Implemented SQLite-backed memory, scoped lexical retrieval and relationship expansion, with interfaces for multimodal context and local synthesis.
Built a Next.js service catalog, guided concierge and interactive browser demonstrations that explain practical business workflows.
Launched and operating on an RTX 6000 Pro and Threadripper Pro 9965WX, using open-source models for private, on-device inference and local processing.
Built typed evidence models, registry corpus tools and a LangGraph workflow for discrepancy review, evaluated with constructed corruption cases.