Damien Lainé

Head of Engineering Infrastructure and Systems Architect - Ai Product Manager @Linagora

Région de Toulouse, FR

I lead product & engineering initiatives around the Platform and other major AI projects. I focus on pragmatic, scalable, and cost-effective engineering practices to deliver sustainable, production-ready AI platforms and services.Key responsibilities :• Design and deploy distributed AI processing platforms (Whisper, Nemo, Celery, Ray) on bare-metal GPU clusters (Docker Swarm, GPU-aware containers, FastFlow, vLLM, Tabby API).• Architect and optimize large-scale data science and production storage infrastructures (GlusterFS, Redis Stack, HPC environments).• Build high-performance, real-time audio/video processing software pipelines for large-scale ingestion and streaming.• Lead the development and industrialization of Edge AI solutions (Edge AI in the Browser, embedded Linux, TensorFlow, WASM technologies).• Develop scalable backend architectures and SaaS web platforms supporting inference pipelines and production-grade media streaming ingestion.Contribution to LINAGORA’s open-source LLM projects :• Design and maintain data management and versioning pipelines, leveraging DVC (Data Version Control) for full traceability, reproducibility, and integrity of large-scale datasets and model artifacts throughout the AI training lifecycle.• Mentor engineering teams on distributed system architectures, MLOps best practices, HPC optimization, and production-grade deployment strategies.

Institut national des Sciences appliquées de Toulouse

Diplôme d'ingénieur