Martin Muller is an AI-focused engineer and founder with 10 years of experience building and deploying production-grade ML systems, currently on the post-training team at Poolside and co-founder/CTO of NyxAI, maker of dreamlook.ai. He specializes in optimizing training and inference workflows for large models and diffusion-based image generation, turning multi-hour finetuning runs into minute-scale tooling. His background spans academic research—earning an EPFL Ph.D. for work on domain-specific pretraining (COVID-Twitter-BERT, >200k downloads and 400+ citations) and the Crowdbreaks crowdsourcing platform—to engineering roles that delivered large language models and scalable GPU/TPU deployments. Martin has practical experience designing auto-scalable APIs, queueing systems and prompt-enhancement pipelines for commercial products, and has led TPU/TPU→GPU training pipelines for state-of-the-art French LLMs. He combines deep research credentials with hands-on systems engineering, and is particularly skilled at shrinking ML latency and cost while preserving model customizability.
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