About | Louis Ulmer

Louis Ulmer

ML Engineer with background in Machine Learning, Statistics, and Engineering. I like reading research papers and bring them to production.

GitHub HF LinkedIn

Education

Master's in Computer Science 2020 · INSA Rouen Normandie
Master's in Data Science 2020 · Université de Rouen Normandie

Focus Areas

Large Language Models NLP ML efficiency State Space Models MLOps Fintech Document Automation

Career

Training reasoning LLMs with reinforcement learning (GRPO, DPO) for document automation. Optimizing inference pipelines and experimenting with SSMs, VLMs, and long-context architectures. Building distributed training pipelines for function calling, agentic behavior, and financial document tasks.

PyTorch vLLM Triton RLHF

Research on sub-quadratic architectures and efficient transformers. Implemented State Space Models (Mamba, Hyena, S4, H3) and RWKV to enhance LLM efficiency.

SSMs Mamba Efficient LLMs

Co-founded a sovereign LLM assistant library using RAG and prompt engineering. Implemented diffusion models for satellite imagery synthesis. Published research on multimodal disaster management. Built NLP tools, object detection pipelines for defense, and semantic search engines on GCP.

LLMs Diffusion RAG Computer Vision

Implemented computer vision systems using state-of-the-art deep learning architectures.

Deep Learning Computer Vision