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Software Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I started programming when I was twelve, and loved it ever since. I went to university to get a degree, and discovered a passion for algorithms. I then graduated with a specialty in Machine Learning. I did a brief stint tutoring first year students at university, whilst trying to get my Master's.
The University of Waikato
Bachelor's Degree, Computer Science
January 1, 2008 – January 1, 2012
Everbridge
Senior Software Engineer I
April 1, 2025 – Present
New Zealand · Remote
eCargo
Software Developer
June 1, 2017 – April 1, 2025
Auckland, New Zealand
Brand Developers Limited
C# Developer/ Machine Learning Specialist
July 1, 2015 – June 1, 2017
Auckland, New Zealand
Powershop
Software Developer
July 1, 2014 – October 1, 2014
Wellington
University of Waikato
Graduate Assistant (Tutor)
January 1, 2013 – January 1, 2014
Cultural Fit Analysis
The candidate has experience across different companies (Everbridge, eCargo, Brand Developers Limited, Powershop), indicating adaptability to various work environments. The role as a 'C# Developer/ Machine Learning Specialist' at Brand Developers Limited shows a blend of traditional development and emerging tech, which could be a good fit for innovative cultures. However, the lack of detailed project descriptions or community involvement makes it difficult to fully assess cultural alignment with a specific target company.
Soft Skills & Operational Fit
The candidate's resume indicates experience in tutoring, which suggests communication and mentoring skills. The description of working on various internal tools and machine learning systems implies adaptability and problem-solving. However, without specific project details or behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.