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vinsblack/README.md

Hi, I'm Vincenzo Gallo

Backend Python Engineer · AI Systems Developer · FastAPI · Distributed Systems

About

I build production backends and AI systems designed for real-world operation. My work focuses on distributed architectures, secure service boundaries, and reliable asynchronous processing. I value systems that are observable, maintainable, and resilient as they evolve.

What I Build

  • Backend: FastAPI, REST APIs, PostgreSQL, JWT, and RBAC
  • Distributed systems: Redis, async workers, observability, and Docker
  • Delivery and AI: CI/CD, production AI integrations, and document processing

Core Technologies

Backend

Python, FastAPI, SQLAlchemy, Alembic, and PostgreSQL.

AI and data

Document processing, structured extraction, deterministic validation, ClickHouse, MinIO, and dbt.

Infrastructure

Docker, Redis, async workers, CI/CD, Prometheus, OpenTelemetry, and Grafana.

Featured Projects

Production AI Document Backend

A production-oriented FastAPI backend for authenticated asynchronous document processing, with PostgreSQL, Redis, resilient workers, RBAC, audit logging, Prometheus, and OpenTelemetry.

LakeForge

An open-source local data lakehouse built with ClickHouse, MinIO, dbt, Prefect, Prometheus, Grafana, and React.

VERO — Private Commercial Project

VERO is a private commercial SaaS project developed for energy-sector workflows. It combines AI-assisted document processing, workflow automation, role-based access control, backend services, and cloud deployment.

The source code and business data are private. Public repositories on this profile demonstrate related backend, infrastructure, and document-processing patterns.

Selected Commercial Experience

Alongside my open-source work, I develop private commercial software involving AI-assisted document processing, asynchronous workflows, backend services, and business automation.

Current Focus

  • AI infrastructure
  • resilient distributed processing
  • document intelligence
  • agentic systems
  • production observability

Open Source Philosophy

I prefer publishing complete, tested, and documented repositories that stay close to real-world use cases rather than isolated demos.

Portfolio

vincenzo-gallo-portfolio.vercel.app

Contact

Pinned Loading

  1. commerce-ai-agent commerce-ai-agent Public

    Multi-agent AI system for e-commerce automation — inventory, pricing, customer service, and marketing agents powered by MCP (Model Context Protocol). Built with FastAPI + React.

    TypeScript 3

  2. The-Stack-Processed-v2 The-Stack-Processed-v2 Public

    Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version

    Python 1

  3. lakeforge lakeforge Public

    pen-source data lakehouse platform — ClickHouse, dbt, MinIO, Prefect, React. 4M rows, sub-300ms queries, one command.

    JavaScript

  4. energy-optimizer-pro energy-optimizer-pro Public

    AI-Powered Building Energy Management System with 91%+ ML Accuracy

    Python 11 3

  5. trading-suite-pro-demo trading-suite-pro-demo Public

    AI-powered trading dashboard demo with copy trading, backtesting, and portfolio management. React + TypeScript. Contact for commercial version.

    TypeScript 3 1