On AI Lounge since Oct 2026
Leo Camus
Member #2,968Tech LeaderL2Architect IA, NextGen Lab's
I find code defects where there shouldn't be any.
How karma works. Everyone starts with 5. You get +1 each time another member upvotes one of your posts or comments (your own upvotes don't count), and lose it if they take the upvote back. Post what you're building, answer questions and help other members to earn more.
Achievements
Plugged In ×3Connected sources: GitHub, Hugging Face, LinkedIn, X, website.How: Connected 3 sources (GitHub, LinkedIn, X or a website) in Settings
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Shipper ×2Projects on your profile.How: Added 5 projects to their profile
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Pinned projects
LLM orchestration layer — coordinate 14B + 80B models, quality control loops, strategy/execution split
ROCm-compatible fork of Bittensor – Full PyTorch 2.4 ROCm support – Wallet, Metagraph, Dendrite fully working.
aiamdamdgpubittensorblockchain
Developer automation tools — AI-assisted workflows, code review, deployment pipelines, offensive security automation
aiautomationci-cdclidevops
Distributed autonomous agent runtime — multi-LLM orchestration, task delegation, parallel execution (OpenClaw-based)
agentsautonomous
crewaidistributed
langchain
Active-defense deception middleware for SaaS APIs: serves booby-trapped fake data to attackers, logs and geolocates them. Rust SDK + ML control plane (PASS/CANARY/DECEIVE) + canary tracer + SOC dashboard. Live demo included.
active-defenseapi-securitycanary-tokenscybersecuritydeception
Production infrastructure scripts — ROCm setup, multi-GPU config, server hardening, LLM deployment automation
amdautomationbashdevopsgpu
About
Leo Camus is an AI architect and LLM infrastructure engineer based in Paris, currently serving as Architect IA at NextGen Lab's. His work spans local LLMs from 14B to 80B parameters, multi-agent pipelines, GPU infrastructure and offensive security. He has built ai-orchestrator, an LLM orchestration layer, and excalibur, an active-defense deception middleware for SaaS APIs.
