Dominic Widdows
AI Scientist and Engineer
- Role
- Principal Deep Learning Data Scientist, Ai Solutions at AMD
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Dominic Widdows
Evaluating and optimizing the most advanced generative AI models with the fastest hardware yet built.AI veteran, Engineering and Data Science practitioner and manager. Led many teams and projects through all product phases, including research, implementation, launch-at-scale, responding to customer feedback and maintaining marketplace success.Founder and leader of teams at Google and Microsoft, and the Grab Seattle office which grew to over 100 people. As an engineer, designed large-scale systems and products, and written heavily-used production software in C++, Python, Java, C#, and Go. In data science / machine learning / AI, developed early word-embedding models and open source software, deployed lean and efficient production models and systems, and researched and published over 70 peer-reviewed papers.(See for a list of a lot of scientific work.)Domain areas of expertise include AI, Natural Language Processing, Search, Information Extraction, Internationalization and Localization, GIS / Location Search, Logistics and Transportation, Advertising, eCommerce, Quantum mechanics and computing.Singer / songwriter of \"Informative Exceptions\", the best song you\'ve never heard about a topic nobody sings about!
Experience
Principal Deep Learning Data Scientist, Ai Solutions
Dec 2024 — Present · Bellevue, WA, US
Education
University of Oxford
Doctor of Philosophy - PhD, Mathematics
Durham University
Bachelor of Arts (BA), Mathematics
1993 — 1996
Skills
- Folk Music
- Java
- Software Development
- Python
- History
- Distributed Systems
- Natural Language Processing
- Geography
- Guitar
- Mapreduce
- C#
- Javascript
- Hadoop
- Botany
- C++
- Mathematics
- Scalability
- Data Mining
- Software Engineering
- Machine Learning
- Mandolin
- Algorithms
- Computer Science
- Linear Algebra
- Home Brewing
- Production Systems
- Information Retrieval
- Carpentry
- Differential Geometry
- Go
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