Benjamin Barrere — CTO

🚀 Investor-Ready Startup / Deep-Tech Founder Bio (English Version) I am a full-stack senior engineer, security architect, and independent AI systems designer with 10+ years of experience building high-performance platforms, transactional systems, and intelligent software. I am currently developing CoreHuman OS, a deep-tech framework introducing the concept of the HCS-U7 (Human Cognitive Signature) — a compact, cryptographically secured cognitive vector that enables instant AI-to-human adaptation without training or behavioral monitoring. My work bridges three fields: Computational cognition High-performance systems engineering Applied AI for real-time adaptation ⚙️ Technical Focus Architecture of large-scale systems (Go, Node.js, TypeScript, Next.js, React) Cloud & DevOps: AWS, Linux, Docker, CI/CD API engineering (REST, WebSocket, real-time pipelines) Mobile & cross-platform: Flutter, React Native Cryptography, secure design, identity engineering RNG (Random Number Generation) analysis & validation (NIST, Dieharder) 🔐 RNG & Security Expertise Before launching CoreHuman OS, I specialized in gaming and betting platforms: RNG algorithm design & validation Cryptographic integrity checks Secure transaction systems Anti-fraud & anomaly detection pipelines 🧠 HCS-U7 — A New Layer Between Humans and AI HCS-U7 is a proprietary model producing: a stable cognitive vector, interaction preferences, behavioral dynamics, a cryptographic identity signature (CHIP-96+), allowing any AI agent or robotic system to adapt instantly to a specific individual — without data harvesting or learning loops. This turns onboarding from “train the system to understand you” into “provide your HCS-U7 code — adaptation is immediate.” 🚀 Vision CoreHuman OS aims to become: a universal human-AI interface layer a standard for adaptive AI agents, a secure identity mechanism for robotics, personal AI, and autonomous systems. 🔭 What I’m building I am assembling the foundations for: AI agents that adapt in under 2 seconds Robotics systems with zero observation phase Identity-driven AI personalization without data collection A future protocol for human-machine communication If you are an investor or deep-tech partner interested in: AI adaptation cognitive modeling robotics interaction secure identity systems or frontier innovation, I’d be happy to connect.

Stackforce AI infers this person is a deep-tech AI architect specializing in cognitive systems and secure software engineering.

Location: Nîmes, Occitanie, France

Experience: 0 mo