Daniel Hesslow
Cofounder & Research Scientist at Adaptive ML
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolDaniel Hesslow is a research-driven software founder with 11 years of experience building and scaling machine learning systems, currently cofounder and research scientist at Adaptive ML in New York. He transitioned from extreme-scale engineering at Hugging Face to a PhD-focused research role at LightOn, blending production-grade engineering with deep research into large-scale models and hardware-aware ML. His background suggests strong expertise in pushing model performance at scale and turning experimental research into deployable systems. Based in New York with roots in Chalmers University of Technology, he pairs academic rigor with startup pragmatism and a knack for navigating the intersection of research and product. An observable thread across his career is a focus on extreme-scale challenges—moving models from lab prototypes to robust, high-throughput deployments.
11 years of coding experience
Chalmers University of Technology
Stackoverflow
359reputation
15kreached
9answers
1question
Github Skills (62)
pytorch10
language-model10
python10
machine-learning10
multimodal10
llm10
audio10
deep-learning10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
machine-learning-models9
transformers9
Programming languages (8)
Github contributions (5)
Contributions:72 commits, 53 pushes, 1 branch in 1 year 1 month
Global-Illuminati/CoreFramework
Feb 2018 - Feb 2018
Common core framework for implementing Global Illumination techniques
Contributions:31 commits, 26 pushes in 22 days
webgl2javascriptwebglgraphics
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