Senior Machine Learning Engineer, Team lead
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Donetsk National University
Master's degree, Computer Science
January 1, 2019 – Present
Magentiq Eye Ltd.
Senior Machine Learning engineer, Team lead
August 1, 2021 – Present
Waverley Software
Machine Learning Engineer
September 1, 2020 – July 1, 2021
Magentiq Eye Ltd.
Deep Learning Engineer
March 1, 2019 – August 1, 2020
Fortifier. Software Development Company
Python Software Engineer
August 1, 2015 – March 1, 2019
Automatic polyp detection system
March 1, 2019 – Present
I work on ComputerVision system that helps doctors to find polyps during colonoscopy procedure
Corlina - factory monitoring platform
May 1, 2017 – March 1, 2019
I developed a software agent that runs on RaspberryPi, collects sensor data, applies security configuration and sends alerts about anomalies and security-related events to the Cloud application.
Application to search for people by photo
December 1, 2016 – May 1, 2017
Worked on a module that extracts human faces from images, using CNN and Tensorflow
Medical CRM and diseases database
March 1, 2016 – July 1, 2016
I worked on back-end for an application that help hospitals and other medical foundations to manage reception of patients and track diseases spreading.
RGBD video tracking
August 1, 2015 – October 1, 2015
I worked on a real-time object tracking system by given 3D model on the video from RGB-Depth camera such as Kinect.
Cultural Fit Analysis
The candidate has a strong focus on ML/DL and Computer Vision, which aligns well with an ML Engineer role. The projects demonstrate a diverse application of ML skills, including medical, security, and general computer vision. However, the lack of explicit team collaboration or project management details in the project descriptions makes a comprehensive cultural fit assessment challenging. The projects are all personal, which might indicate a preference for individual contribution, but this needs further validation.
Soft Skills & Operational Fit
The candidate's experience as a team lead and involvement in projects like 'Corlina - factory monitoring platform' suggest an ability to work in complex environments and potentially lead initiatives. However, without psychometric test results, a definitive assessment of soft skills and operational fit is not possible.