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Machine Learning Engineer at NAUMEN
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ural State Technical University
Engineer, Computer Science
January 1, 2002 – January 1, 2007
NAUMEN
Machine Learning Engineer
October 1, 2016 – Present
NAUMEN
Senior Java Developer
March 1, 2011 – October 1, 2016
SIAMS
programmer
November 1, 2007 – May 1, 2011
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
The Modern World: Global History since 1760
Coursera
June 24, 2026 – Present
OCPJP
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a commitment to learning and sharing knowledge, as evidenced by internal talks, seminars, and university lectures. Their interest in gamification and continuous learning (Coursera certifications) suggests a proactive and growth-oriented mindset. However, the recent focus on Machine Learning might indicate a shift away from pure backend, which could be a misalignment if the target role is strictly backend. The lack of diverse project types outside of internal systems and a medical information system might limit exposure to varied industry challenges, potentially impacting cultural fit for highly dynamic or startup environments.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative in improving code quality, mentoring colleagues, and introducing new methodologies (unit testing, design patterns, SCRUM). Their experience in conducting seminars and lectures indicates good communication and leadership potential. The gamification project, though not fully supported, shows innovative thinking and a proactive approach to team engagement. These traits suggest a good operational fit for roles requiring technical leadership and continuous improvement.