Machine Learning Engineer at Receipt Bank
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sofia University St. Kliment Ohridski
Bachelor of Science (BS), Information Technology
January 1, 2008 – January 1, 2013
Receipt Bank
Machine Learning Engineer
May 1, 2017 – September 1, 2019
AI Works
Data Scientist
September 1, 2016 – March 1, 2017
Viblast
Lead Developer and Co-founder
September 1, 2013 – August 1, 2016
Setelis
Software Engineer
February 1, 2010 – September 1, 2013
Cultural Fit Analysis
The candidate's experience spans various company types, from startups (Viblast, AI Works) to established companies (Receipt Bank, Setelis). However, the target role is 'Backend Engineer', and the recent experience is heavily skewed towards Machine Learning and Data Science. While these roles involve backend development, the direct alignment with a pure Backend Engineer role requires further validation. The lack of project details makes it difficult to assess specific contributions and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience as a Lead Developer and Co-founder suggests leadership and entrepreneurial qualities, but specific operational fit cannot be determined without further information.