Grétar Rafn Árnason's profile picture

Grétar Rafn Árnason

Principal Engineer at Lucinity

Grétar Rafn Árnason has a diverse work experience spanning over two decades. Grétar Rafn began their career as a Software Engineer at deCODE genetics in 1997 and worked there until 2003. Grétar Rafn then joined Sabre Airline Solutions where they had various roles including Senior Software Engineer, Team Lead Software Development, and Principal Software Architect. During their time at Sabre, they worked on projects such as IntelligenceXchange, Customer Data Hub, Customer Experience Manager, and Commercial Analytics. In 2018, Grétar moved on to work as a Software Architect at ZIZERA for a brief period before joining WuXi NextCODE as a Software Developer. Currently, Grétar works at Lucinity as a Principal Engineer, a position they have held since May 2019.

Grétar Rafn Árnason's education history is as follows:

1. Bachelor of Science (B.Sc.) in Biology, General:

- Attended Háskóli Íslands from 1992 to 1995.

2. Bachelor of Science (BS) in Computer Science:

- Attended Háskóli Íslands from 1996 to 1999.

In addition to these degrees, Grétar Rafn Árnason has also obtained several certifications in various fields. Some of these certifications include:

1. Applied Machine Learning: Feature Engineering:

- Obtained from LinkedIn in October 2021.

2. Building Resilience as a Leader:

- Obtained from LinkedIn in September 2021.

3. Database Clinic: Neo4J:

- Obtained from LinkedIn in February 2020.

4. Managing Python Projects:

- Obtained from LinkedIn in February 2020.

5. Efficient Python Production Workflows:

- Obtained from LinkedIn in January 2020.

6. Agile Software Development: Clean Coding Practices:

- Obtained from LinkedIn in December 2019.

7. NLP with Python for Machine Learning Essential Training:

- Obtained from LinkedIn in October 2019.

And many more certifications that Grétar Rafn Árnason has obtained in recent years.

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Lucinity

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Lucinity is an AML Software that uses Human AI to help banks detect and process money laundering cases more efficiently and accurately.


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