Frank Su Email
Machine Learning Engineer @ Red Marble AI
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Frank Su Location
- Melbourne, VIC, AU
Frank Su Work
- Machine Learning Engineer @ (January 2018 - Present)
- Software Engineer @ Shanghai China (January 2016 - January 2017)
- PHD Researcher @ (January 2012 - January 2016)
- PHD Intern @ The University of Brescia Italy (March 2015 - May 2015)
- Computer Science Tutor @ (January 2010 - January 2014)
- Full-Time Intern @ (November 2011 - February 2012)
- Full-Time Intern @ (November 2010 - February 2011)
- Full-Time Intern @ Sap Labs (December 2009 - February 2010)
Frank Su Education
- The Australian National University
Doctor of Philosophy (Computer Science, Philosophy)
2012-2016 - The Australian National University
Bachelors (Software Engineering)
2008-2011 - Anu College, Canberra 2007-2008
Frank Su Skills
- Computer Science
- Microsoft Azure Machine Learning
- Databricks
- Azure
- Data Enginnering
- Generative AI
- Software Engineering
- Java
- C++
- Python
- .NET C#
- Amazon SimpleDB (SDB)
- Twitter API
- PostgreSQL
- Microsoft SQL Server
- Deep Learning
- Neural Networks
- Data Mining
- Machine Learning
- Image Super-Resolution Algorithms
- Object Dectection Algorithms
- Agile Project Management
- PMBOK project management
- Documentation and conference paper writing and presentation
- Open source project development
- CMMI
- PSM
- Algorithms
- Artificial Intelligence
- JavaFX
- HTML
- CSS
- ASP.NET
- UML
- xtUML
- XML
- Linux
- Ubuntu
- iOS
- Mac OS
- Google Code
- Logic
- Discrete Mathematics
- Software Engineering Formal Methods
- Python (Programming Language)
Frank Su Summary
- Frank Su, based in Melbourne, VIC, AU, is currently a Machine Learning Engineer at Red Marble Ai. Frank Su brings experience from previous roles at Shanghai China, Australian National University and The University of Brescia Italy. Frank Su holds a 2012 - 2016 Doctor of Philosophy in Computer Science, Philosophy @ The Australian National University. With a robust skill set that includes Computer Science, Microsoft Azure Machine Learning, Databricks, Azure, Data Enginnering and more.
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