GPT-1 public release
Following the GPT track since its first public release.
Full Stack Engineer based in Rome, Italy
I build software across frontend, backend and AI systems.
I'm Massimiliano Bianchini, a Senior Software Engineer, Full Stack Engineer and AI engineer based in Rome. I work across enterprise software, modern web development and production-ready AI workflows.
My focus is building useful systems rather than demos: RAG pipelines, LangChain and LlamaIndex integrations, Qdrant-based retrieval, backend services, user-facing interfaces and the technical decisions needed to make them stable in production.
A concise view of my growth across software engineering and practical AI work.
Following the GPT track since its first public release.
Java, Spring Boot and the first years in enterprise software delivery.
Liferay, React and delivery on strategic public-sector platforms.
Deeper focus on practical AI usage, experimentation and workflows.
Technical leadership on critical architectures and system design.
Working across critical systems, product delivery and engineering decisions.
RAG, LangChain, Qdrant and production-ready AI workflows.
PyTorch, TensorFlow, LLMOps, Fine-Tuning, Multi-Agent Systems, LangChain, LlamaIndex, Qdrant, Pinecone, RAG Architectures, OpenAI API, DeepSeek, Claude, Prompt Engineering, Computer Vision, Hugging Face, Datapizza AI
Java, Spring Boot, Microservices, Event-Driven Architecture, Apache Kafka, RabbitMQ, gRPC, Python, FastAPI, Node.js, Serverless, PostgreSQL, MongoDB, Redis, OracleDB, REST, GraphQL, System Design, C / C++
React, Next.js, Astro, TypeScript, Tailwind CSS, Shadcn UI, Framer Motion, Zustand, Three.js, Microfrontends, Bootstrap, HTML5 / CSS3
Docker, Kubernetes, Terraform, IaC, AWS, GCP, Azure, Prometheus, Grafana, Git, GitHub Actions, CI/CD Pipelines, Maven, Gradle, Linux, Bash, System Security
Electron desktop app to orchestrate multiple CLI sessions, embedded terminals and shared workspaces.
Tauri desktop app for fast voice-to-text input with Groq Whisper, optional rewriting and paste into the active app.
Multimodal AI experiment that reads live traffic by rendering maps, taking screenshots and using vision analysis.
RAG-based app to analyze Elf CVs with a FastAPI backend and a Next.js frontend.
Three-agent pipeline that creates personalized scientific bedtime stories for children.
Minimal ingest and RAG pipeline over GitHub documentation using OpenAI and Qdrant.
If you want to build a product, improve an existing platform or explore AI delivery with a pragmatic engineering mindset, feel free to reach out.
Rome, Italy