Hi, I'm Lorenzo SignorelliLorenzo Signorelli
Full-Stack Developer & AI Enthusiast
I build scalable web apps and AI-powered products. Based in Italy, I specialize in React, Node.js, Python, and Machine Learning. Let's create something impactful together!
I adopt problems.
What I Build
Full-stack engineering with a focus on performance, scalability, and user experience.
Frontend Engineering
Modern React, Next.js, TypeScript. Pixel-perfect UI with Framer Motion.
Backend & APIs
Node.js, Python, serverless. Scalable APIs and database design.
AI & Machine Learning
LLMs, computer vision, NLP. Building intelligent products.
DevOps & Cloud
Docker, CI/CD, Vercel, AWS. Ship fast, scale reliably.
How I Work
A structured, outcome-driven process that takes products from strategy to production.
Discover
Align goals, stakeholders, and constraints to define requirements and clear success criteria.
Build
Design and build robust solutions with clean architecture, best practices, and high code quality.
Iterate
Validate through testing, feedback, and metrics; continuously improve UX, performance, and reliability.
Ship
Release to production with CI/CD, monitoring, documentation, and ongoing support.
Featured Work
A selection of my most impactful projects, from AI research to production applications.
Git RAG Assistant
Local codebase Q&A with RAG: fast retrieval, grounded answers, and a simple chat UI.
- ▹Runs entirely locally (repos + embeddings + retrieval)
- ▹Source-grounded answers with citations/snippets
- ▹Next.js UI + FastAPI backend
Basket-AI
Affordable basketball tracking R&D: YOLO-based detections, jersey OCR, and MOT experiments.
- ▹Player and ball detection with custom YOLO models
- ▹SAM2 segmentation + color clustering
- ▹Jersey number localization + PARSeq OCR pipeline
Instance-Guided UDA
Refining pseudo-labels in Unsupervised Domain Adaptation for semantic segmentation using Segment Anything Model (SAM2).
- ▹Pseudo-label refinement with SAM2
- ▹Two prompting strategies: Informed & Grid-based
- ▹Evaluation on ScanNet dataset
Products Shipped
Years Crafting Software
Leadership Engagements
Technologies Mastered