Daniel Han

Co-Founder

San Francisco, California, United States3 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founder of Unsloth AI with 10 million monthly downloads.
Optimized TSNE algorithm to be 2000x faster.
Led projects reducing costs by 50% in mobile expenses.

Stackforce AI infers this person is a leader in AI/ML with a strong focus on open-source solutions.

Contact

Skills

Core Skills

Artificial IntelligenceMachine LearningData VisualizationTeachingData ScienceResearchEngineeringProject Management

Other Skills

Deep LearningPythonSoftware DevelopmentAlgorithmsData AnalysisEconomicsComputer ScienceWeb DevelopmentMathematical ModelingOptimizationRCMATLABSASTableau

About

I'm building Unsloth and we're in YC S24! We make open-source AI as accessible as possible, have 10 million monthly downloads, and fixed bugs in Llama, Mistral & Gemma. I was at NVIDIA making TSNE 2000x faster.

Experience

3 yrs 4 mos

Total Experience

1 yr 8 mos

Average Tenure

2 yrs 4 mos

Current Experience

Unsloth ai

Co-Founder

Dec 2023 – Present · 2 yrs 4 mos · San Francisco Bay Area

We make open-source AI more accessible through fine-tuning and reinforcement learning.

Machine LearningDeep LearningPythonArtificial IntelligenceSoftware Development

Nvidia

Machine Learning Engineer

Dec 2018 – Feb 2020 · 1 yr 2 mos · Sydney, Australia

Got a lifetime offer to relocate to Austin TX 🇺🇸 as a software engineer, but decided building a startup and open-source was my passion! I was at NVIDIA for an extended 1 year internship making algos faster!
📊 Made a data visualization algorithm TSNE 2000x faster (5s vs 3hr).
🖥️ I contributed on making algorithms like PCA, NMF, KNN more efficient.
💾 Pushed changes to cuPy making SVD use 50% less memory.
📚 Made cuML's documentation become more detailed.

Machine LearningAlgorithmsData VisualizationPython

Unsw business school

Graduate Research And Teaching Assistant

Dec 2017 – Dec 2018 · 1 yr · Sydney

👨‍🏫 Lectured 50 Masters / PhD students and designed MARK5826 Product Analytics.
🗨️ Awarded a Bronze Award for notebook quality on Google's Kaggle.
🏫 Helped design MARK5827, MARK5828 for UNSW, and helped design the Marketing Analytics specialisation.

TeachingResearchData Science