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MLOps 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
TensorflowRest
December 19, 2019 – Present
Rest Backend using Flask to deploy Tensorflow1.x models
View ProjectUdacityCVND-Implement_SLAM
November 24, 2019 – October 3, 2023
UdacityCVND-Implement_SLAM — GitHub repository
View ProjectUdacityCVND-Image-Captioning
November 12, 2019 – November 22, 2019
UdacityCVND-Image-Captioning — GitHub repository
View ProjectTf2Pytorch
May 17, 2019 – June 6, 2019
A repository of interconvertible Networks. Same dataset handled by Tensorflow and Pytorch using same Architecture
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong self-driven learning attitude and initiative in exploring various ML technologies and cloud platforms. The diversity of projects, though mostly preparatory or experimental, indicates a willingness to learn and adapt to different tools and environments, which aligns with a dynamic work culture. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.