Annese David

Developed a voice-controlled AI assistant with vector memory, currently in pre-launch. Built a server-side RAG pipeline including query processing, embeddings, vector search, and prompt construction, along with real-time speech-to-text and text-to-speech capabilities.

Conceived, built, and operated a mobile and web application with integrated AI agents, launched in production in October 2025. Developed the full stack including React Native, Next.js, Node.js, and an AI LLM pipeline with function calling and multi-model fallback.

Built software continuously alongside my main job: backend and back-office tools, including automated KPI dashboards that read documents and consolidate the figures; home automation and control systems with synoptic supervision screens; websites and web applications end to end, including two years running my own web development business.

Quality control and compliance for safety-critical rubber compound production: monitoring and analysis of quality data, full traceability, classification and handling of non-conformities, corrective actions, release of production in the plant IT system. Ran internal audits and QRQC routines, trained new staff, and led the quality department move from paper to digital.

Over 30 years of continuous self-taught practice, always alongside a full-time job: industrial synoptic and supervision screens, home automation, websites including two years running my own web business, backend and API development, mobile and web apps, and for the last two years AI agents, RAG pipelines and LLM integration.

French vocational diploma in electrical engineering, completed before starting my industrial career.