Machine Learning 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
presentations
October 31, 2018 – October 31, 2018
Repo ha my/co presentations from different meetups
View Projectai-for-robotics
September 18, 2017 – September 27, 2017
ai-for-robotics — GitHub repository
View Projectdeeplearning-coursera
September 9, 2017 – September 9, 2017
Deep learning quizzes and assignments
View Projectsummer-2016-internship
July 19, 2017 – July 19, 2017
summer-2016-internship — GitHub repository
View Projectforensic-handwriting-verification
November 6, 2016 – September 9, 2017
Given two samples of handwriting, the model learn't can be used to predict if they belong to the same person or not
View ProjectHandwritten_recognition_tensorflow
September 24, 2016 – July 11, 2019
Handwritten_recognition_tensorflow — GitHub repository
View Projectsearch-engine-taat-and-daat
November 11, 2015 – February 7, 2016
Term at a time and Document at a time
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects (handwriting verification, image captioning, search engine) indicates a broad interest in different areas of computer science, which could align with a dynamic environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.