Markel Ausin
Director Of LLM at Hippocratic AI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMarkel Ausin is a Director of LLM based in Palo Alto with 11 years of experience building and operationalizing large language and multimodal models, currently leading LLM efforts at Hippocratic AI. He holds a PhD in Computer Science from NC State and previously spent two years as a Deep Learning Engineer at NVIDIA, contributing to the NeMo framework’s end-to-end training and deployment pipelines. Markel blends research-grade modeling expertise with hands-on DevOps and inference infrastructure work, having authored evaluation workflows and job orchestration scripts for production-scale models. His background includes internships at Google Brain and Google AI, reflecting a strong research-to-production trajectory. Colleagues describe him as a practical scientist who moves models from prototype to robust, deployable systems while keeping safety and evaluation rigor front-and-center.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at North Carolina State UniversityBachelor's degree Computer Science, Bachelor's degree Computer Science at EHU
euskara, English, French, German, Spanish
Github Skills (19)
pytorch10
gpgpu10
slurm10
python10
evaluation10
scripting10
machine-learning10
data-preprocessing10
eval10
script10
dataprep10
gpu10
accelerated-computing10
sh10
gpt10
Programming languages (4)
Github contributions (5)
NVIDIA/NeMo-Framework-Launcher
Aug 2021 - Jan 2023
Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:14 reviews, 817 commits, 6 PRs in 1 year 6 months
Contributions summary:Markel's contributions focus on developing training pipelines and automated evaluation procedures for large language models and multimodal models within the NVIDIA NeMo Framework. They added code for evaluation data preparation and included shell scripts for running model evaluations using various parameter configurations for a 126M GPT-3 model. Furthermore, the user appears to be involved in managing the infrastructure and deployment, as the commits include modifications to job submission scripts and adjustments to resources (e.g., GPU settings) suggesting DevOps responsibilities as well.
markelsanz14/independent-rl-agents
Sep 2019 - Jun 2020
Contributions:211 commits, 6 PRs, 224 pushes in 8 months
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