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Salvatore P
@tatopenn
AI Code Reviewer Python Engineer
Italia
Italiano, Inglés, Español
Sobre mí
I am an AI code review specialist and Python engineer focused on human-in-the-loop verification. I manually review code produced by AI assistants like Cursor and Claude, ensuring every line of output is verified through rigorous testing, linting, and type checking to provide reproducible reports.
Habilidades
Salvatore P
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Solución de problemas y mejoras
I will review your ai generated code and send a written report
Solución de problemas y mejoras
I will build or replace the backend engine for your vibe coded app
Experiencia laboral
Independent Software Engineer & AI Code Reviewer
Self-Employed / Freelancer
Nov 2023 - Present • 3 yrs
Independent Software Engineer & AI Code Reviewer Self-employed — Napoli, Italy · Sep 2026 – Present Review AI-generated Python code with a manual, reproducible method: run the commands, read the outputs, write a report of what was verified and what was not. Every claim is backed by a command and its real output. Creator and Maintainer — Dense-Armor Open source · Jul 2026 – Present Library of primitives for robots and AI, in Python/JAX: neural building blocks, drone pipelines on flight data, finance, timeseries, runtime robustness. AGPL-3.0. 131,988 lines · 717 classes · 7,867 functions · 8 MCP tools 1,091 commits · 40 releases · 47 PyPI versions Creator and Maintainer — Dense-Evolution Open source · May 2026 – Present NISQ quantum simulation toolkit, JAX-native: Hartree-Fock engine (UHF/CUHF, open-shell), reversible arithmetic as gate circuits, QEC, quantum cryptography, ZNE, MCP server, hybrid RAG. Platform wheels on Windows, macOS, Linux. 50,166 lines · 305 classes · 2,497 functions · 33 MCP tools 835 commits · 83 releases · 94 PyPI versions Creator and Maintainer — Dense-Evolution-Discovery Open source · Jun 2026 – Present Empirical quantum simulation and robustness studies. Critical replication of the traversable-wormhole paper: 10 experiments, 5 honest negative results published. Online metric learning, online Platt scaling, Steane code, Streamlit dashboard. 56,928 lines · 1,779 functions 504 commits · 38 releases ACHIEVEMENTS - 239,082 lines of Python across 3 open-source repositories, 1,060 classes and 12,473 functions in 5 months. - 41 MCP tools for agent-driven quantum and robot workflows. - 2,430 commits, 161 releases, 141 PyPI versions published. - Native Hartree-Fock (UHF/CUHF, open-shell) and reversible-arithmetic gate circuits. - Quantum error correction and quantum cryptography modules. - Critical replication with 5 honest negative results published. - Zenodo DOI 10.5281/zenodo.21855643.
