Sebastian Raschka, PhD

Co-Founder

Madison, Wisconsin, United States7 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Over a decade of AI research experience.
Author of bestselling machine learning books.
Expert in large language models and AI systems.

Stackforce AI infers this person is a leading expert in AI and LLM development within the tech industry.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Large Language Models (llm)StatisticsMachine LearningDeep Learning

Other Skills

PyTorchOpen-Source SoftwareResearchEducational LeadershipOpen-Source DevelopmentPython (Programming Language)Large-scale Data AnalysisData ScienceProgrammingNatural Language Processing (NLP)GPU ComputingNeural NetworksData MiningData AnalysisBioinformatics

About

Sebastian Raschka, PhD, is an LLM Research Engineer with over a decade of experience in artificial intelligence. His work spans industry and academia, including implementing LLM solutions as a senior engineer at Lightning AI and research & teaching as a statistics professor at the University of Wisconsin–Madison. Sebastian specializes in LLMs and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations. He is the author of the bestselling books Machine Learning with PyTorch and Scikit-Learn, Machine Learning Q and AI, and Build a Large Language Model (From Scratch). For more information about specific projects, please see the resources below. Website: https://sebastianraschka.com Publications: https://scholar.google.com/citations?user=X4RCC0IAAAAJ&hl=enrasbt Open-source projects: https://github.com/rasbt

Experience

7 yrs 1 mo

Total Experience

4 yrs

Average Tenure

Current Experience

Rair lab

Founder | Principal AI & LLM Research Engineer

Jan 2025 – Present · 1 yr 3 mos · United States

Working on AI research and LLM engineering with a practical and code-driven focus.

Artificial Intelligence (AI)Large Language Models (LLM)PyTorchDeep LearningMachine Learning

Lightning ai

4 roles

Senior Staff Research Engineer

Oct 2024 – Feb 2025 · 4 mos · New York City Metropolitan Area

Sebastian is a Senior Staff Research Engineer implementing, training, and finetuning large language models (LLMs).

Large Language Models (LLM)Artificial Intelligence (AI)Deep LearningMachine LearningOpen-Source DevelopmentStatistics+4

Staff Research Engineer

Feb 2024 – Nov 2024 · 9 mos · New York City Metropolitan Area

Sebastian is a Staff Research Engineer focusing on the intersection of AI research, software development, and large language models (LLMs).

Large Language Models (LLM)Open-Source SoftwareArtificial Intelligence (AI)Python (Programming Language)PyTorchDeep Learning+1

Staff AI Educator

Sep 2023 – Feb 2024 · 5 mos · New York City Metropolitan Area

Sebastian is an AI researcher and educator who works on developing large language models (LLMs).
Promoted from Lead to Staff AI Educator.

Large Language Models (LLM)Deep LearningProgrammingArtificial Intelligence (AI)Natural Language Processing (NLP)PyTorch+2

Lead AI Educator

Jan 2022 – Sep 2023 · 1 yr 8 mos · New York City Metropolitan Area

Sebastian specializes in Deep Learning & AI research and develops materials to help people to utilize AI & deep learning at scale.

Deep LearningData ScienceArtificial Intelligence (AI)Python (Programming Language)Machine Learning

Manning publications co.

Author and LLM Engineer

Apr 2023 – Oct 2024 · 1 yr 6 mos · Remote

Author of the "Build A Large Language Model (From Scratch)" book.

University of wisconsin-madison

2 roles

Advisory Board Member

Feb 2023 – Present · 3 yrs 2 mos

Advisory board member for the Open Source Program Office at the UW–Madison Data Science Institute

Open-Source SoftwareArtificial Intelligence (AI)Large Language Models (LLM)Machine Learning

Assistant Professor of Statistics

Jan 2018 – Jan 2023 · 5 yrs

Assistant Professor of Statistics (tenure track 2018-2025) focusing on machine learning and deep learning methods development. Focused on model evaluation, ordinal regression with deep neural networks, graph neural networks, and applications of predictive modeling in biomedicine and biology.
On leave since January 2022 to focus on start-up experience.
You can find a list of my research publications on Google Scholar: https://scholar.google.com/citations?user=X4RCC0IAAAAJ&hl=enrasbt

StatisticsResearchArtificial Intelligence (AI)Machine LearningEducational Leadership