Projects and responsibilities:1- Scoring Engines: * Used machine learning models to score talents applying for jobs. * Used vector space model and elastic search to score talents for jobs.2- Search Engines: * Used vector space model and elasticsearch to build a search engine for talents' profiles. * built first iteration of a search engine for learning posts at wuzzuf learning.3- Recommender Engines: * built different recommender systems… Show more Projects and responsibilities:1- Scoring Engines: * Used machine learning models to score talents applying for jobs. * Used vector space model and elastic search to score talents for jobs.2- Search Engines: * Used vector space model and elasticsearch to build a search engine for talents' profiles. * built first iteration of a search engine for learning posts at wuzzuf learning.3- Recommender Engines: * built different recommender systems to recommend talents for jobs and recommend jobs for talents. * Applied Information Retrieval paradigm and used elasticsearch to build the recommender systems.4- Text structuring: * Structured a list of 40,000 University Names variations that contained typos and different spellings, using basic text similarity algorithms.5- New team members orientation. Show less

Mentored two teams with there graduation projects. Projects were focusing on sentiment analysis using BERT based classifiers.