AI engineer and consultant with 8 years of experience building LLM products, AI platforms, evaluation systems, and data-intensive applications.
Former product and engineering contributor to open-source tools connecting affiliate-network data to AI assistants. My work covered affiliate-network integrations, data pipelines, technical architecture, and an experimental Claude/Codex agent-to-agent delivery workflow.
An open-source pipeline for validating, scoring, and normalising commerce product feeds for AI shopping and agent-ready catalogues, with FastAPI, CLI, MCP tools, and explainable readiness reports.
An on-device voice-notes app using Apple speech and Foundation Models for private transcription and structured extraction. The project includes synthetic evaluation fixtures, privacy checks, and native iOS tests; its open-source release is in progress.
- AI products: LLM applications, RAG systems, agent workflows, evaluation, and measurable product improvements.
- AI platforms: gateways, access, routing, observability, cost controls, guardrails, and developer experience.
- Data-intensive systems: semantic search, recommender systems, enrichment pipelines, and AI-ready data products.