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gianlorenzo mungiovino

@gianlorenzomungiovin

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AI Systems Engineer building local LLM infrastructure and Qdrant-backed retrieval for AI coding agents.

Italy

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I build practical AI systems around local LLM inference, agentic workflows, retrieval, and persistent knowledge. My work connects AI infrastructure with full-stack application engineering, with a focus on reliability, context, and real-world developer workflows.

My AI Knowledge & RAG System uses Qdrant for project-scoped and cross-project retrieval across source code, documentation, and project knowledge. I built it with JavaScript and Node.js to support existing agentic workflows without adding parallel project-state files.

As an open source contributor to Open GSD / GSD-Pi, I contribute to an AI coding agent and spec-driven development system with a local-first architecture. My work spans runtime behavior, streaming, context handling, tool execution, and performance-oriented fixes.

My background also includes web development with React, Node.js, Express, PostgreSQL, and Docker, as well as professional sound engineering and sound design.

Experience

Work history, roles, and key accomplishments

AI Knowledge & RAG System

Semantic retrieval for agentic workflows

Built a Qdrant-backed knowledge system for project-scoped and cross-project retrieval across source code, documentation, and project knowledge. Implemented semantic retrieval, persistent memory, document-code linking, ranking, and automatic context enrichment for AI coding agents.

Qdrant Semantic Retrieval RAG JavaScript NodeJS Context Engineering AI Coding Agent

Web Development

JavaScript / TypeScript ecosystem

Developed web applications using React, Node.js, Express, PostgreSQL, Docker, Git, WordPress, and modern web development practices.

React NodeJS Express PostgreSQL Docker Git WordPress JavaScript TypeScript

AI Systems Engineer & Full-Stack Developer

AI infrastructure, developer tooling, RAG, local inference,

Designing and developing AI systems centered on local LLM infrastructure, agentic workflows, retrieval, and persistent memory. Working across the stack from local inference and model/runtime tooling to backend services, databases, APIs, and web applications.

LLM RAG Local Inference Agentic Workflows Fullstack Development Backend Services Databases APIs Web Applications

Sound Engineering & Sound Design

Audio production, engineering and creative technology

Professional background in sound engineering, recording, mixing, mastering, music production, and sound design.

Sound Engineering Recording Mixing Mastering Music Production Sound Design

Open Source Contributor

Open GSD / GSD-Pi

Contributing upstream to an AI coding agent and spec-driven development system with a local-first architecture. Work spans runtime behavior, streaming, context handling, tool execution, and performance-oriented fixes.

AI Coding Agent Spec Driven Development Local First Architecture Runtime Behavior Streaming Context Handling Tool Execution Performance Optimization