Hi, I'm Lorenzo Signorelli

I ship production-grade AI products and scalable systems.

From agentic assistants and computer-vision pipelines to the full-stack behind them, taken from prototype to production for major players.

ReactTypeScriptNode.jsPythonNext.jsAI/ML
Lorenzo Signorelli

How I work

Every project moves through four stages, from the first conversation to production.

01

Define

Goals, users, and constraints turn into clear requirements and measurable success criteria.

ScopingArchitectureSpecs
02

Build

Robust products with clean architecture, built across the full stack.

ReactNext.jsNode.jsPythonPyTorch
03

Refine

Tested against real usage. UX, performance, and edge cases get tightened.

TestingPerformanceUX
04

Ship

Deployed to production with monitoring, documentation, and a clean handoff.

DockerCI/CDAWSMonitoring

Featured Work

A selection of my most impactful projects, from AI research to production applications.

Git RAG Assistant

Git RAG Assistant

Local codebase Q&A with RAG: fast retrieval, grounded answers, and a simple chat UI.

RAGLLMFastAPI+2
Basket-AI

Basket-AI

Affordable basketball tracking R&D: YOLO-based detections, jersey OCR, and MOT experiments.

Computer VisionYOLOOCR+2
Instance-Guided UDAPaper

Instance-Guided UDA

Refining pseudo-labels in Unsupervised Domain Adaptation for semantic segmentation using Segment Anything Model (SAM2).

Computer VisionDeep LearningRobotics+3
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Products Shipped

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Years Crafting Software

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Leadership Engagements

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Technologies Mastered