PoCs
PoCs are guided walkthroughs that show how I approach common AI system patterns. Each demonstrates architecture decisions, tech stack tradeoffs, and productionization considerations.
What it demonstrates: A document assistant flow with sample document selection, retrieved context, source-grounded answer, and productionization notes.
Useful for: Startups, internal teams, and agencies building document Q&A, knowledge base assistants, or retrieval-backed LLM apps.
What it demonstrates: A visual walkthrough of image input, segmentation mask, overlay result, post-processing, and deployment considerations.
Useful for: Teams building medical, beauty, industrial, or inspection-related image analysis workflows.
What it demonstrates: A simulated long-running AI inference workflow: submit job, queue, process, store result, check status, and receive callback.
Useful for: Teams building model-serving APIs, image processing systems, batch inference, or AI backends.