Andrew Dai
Research Engineer at Sakana AI
Greater Tokyo Area Japan
Summary
👤
Senior🎓
Top SchoolAndrew Dai is a research engineer specializing in AI and large language models with eight years of cross-disciplinary experience spanning industry and academia. Currently at Sakana AI after research roles at Aleph Alpha and Trinity College Dublin, he focuses on open-endedness in AI—an interest reflected in his enthusiasm for the book "Why Greatness Cannot Be Planned." Trained in mechanical engineering (Trinity College Dublin) with graduate study at the National University of Singapore, he brings a strong systems and hardware mindset to ML research, informed by hands-on autonomous racing development and electronics work. He has a track record of building interdisciplinary projects, from co-founding an autonomous racing group to collaborating with professors on research during internships. Based in the Greater Tokyo Area, he blends European roots as a Kerryman with international research experience in cutting-edge AI labs. A subtle throughline in his career is a focus on enabling artificial innovation—designing systems that help AI explore and generate novel, unplanned solutions.
8 years of coding experience
4 years of employment as a software developer
Leaving Cert & Junior Cert, Leaving Cert & Junior Cert at Tarbert Comprehensive SchoolMechanical Engineering, Mechanical Engineering at Trinity College DublinMaster's degree, Master's degree at National University of Singapore
Github Skills (24)
evolution9
keras8
language-modeling8
reinforcement-learning8
machine-learning8
pytorch7
fairness-ml7
api7
hyperparameter-tuning7
collaboration6
deep-learning6
cli5
ai5
tensorflow5
data-versioning5
Programming languages (2)
Github contributions (5)
FT-Autonomous/Autonomous_Crash_Course
Nov 2020 - Jun 2021
Recommended learning guide covering a wide range of topics at an introductory level
Contributions:3 reviews, 18 commits, 2 PRs in 6 months
introductoryrangemachine-learningcovering
daia99/OpenELM
Oct 2022 - Mar 2023
Evolution Through Large Models Implementation
Contributions:44 commits, 4 PRs, 47 pushes in 5 months
evolutionldadeep-learninglarge-modelsartificial-intelligence
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