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Avatar of Mohamed Abdalla.
Avatar of Mohamed Abdalla.
Final product section head @Roca
QA/QC manager
超過一年
Mohamed Abdalla I'm an experienced engineer with over 12 years of working in the field of ceramic Sanitary ware manufacturing, take place of QA/QC, R&D, Tech. support and Product management. I got a Bachelor degree, in Ceramics (design and manufacturing) from the faculty of applied arts, Helwan University, Cairo, Egypt QA/QC manager C, EG [email protected] Skills ِAutocad YAT course zone in 2008 Microsoft Office Personal course in 2006 Power point Personal course in 2004 Experience DURAVIT (Julytill (julyQuality Control Engineer Responsible for: 1.
Word
PowerPoint
Excel
全职 / 对远端工作有兴趣
10 到 15 年
Faculty of Applied Arts
Ceramics (Design and Manufacturing)
Avatar of Indra Fauzy.
Avatar of Indra Fauzy.
Staf Penyebaran Hasil Penelitian @Pusat Penelitian dan Pengembangan Peternakan
2013 ~ 2021
超過一年
Indra Fauzy Staf Kontrak Penyebaran Hasil Penelitian Bogor City, West Java, Indonesia Saya berpengalaman kerja selama kurang lebih 8 tahun pada pemerintahan yang memiliki tugas pokok penelitian dan pengembangan peternakan. Selama saya bekerja saya berposisi sebagai staf penyebaran hasil penelitian. Penyebaran hasil penelitian yang saya lakukan melalui media publikasi dan media online, ataupun offline (info guide pameran). Pengalaman Kerja Staf Penyebaran Hasil Penelitian • Pusat Penelitian dan Pengembangan Peternakan SeptemberDesember 2021 Berpengalaman sebagai redaksi pelaksana jurnal nasional yakni Jurnal Ilmu Ternak dan Veteriner serta Buletin Ilmu Ternak dan Kesehatan Hewan, redaksi serta admin pada media sosial dan website
Microsoft Office
Adobe Photoshop
Premiere
全职 / 对远端工作有兴趣
6 到 10 年
IPB University
Diploma

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列印

    Ahmed Magdy

   [email protected] • Medellin, Colombia  

Computer Science Engineer, love everything related to technology, interested in Machine learning/AI, also a bit of gamer.


Education

Helwan University, Bachelor of Engineering Sep 2018

Major: computer science

GPA: very good (the tenth)

Work Experience

Machine Learning Engineer at AI Fund, Colombia, Oct 2019 - present

  • Rustle.co
    • Developed a customer service AI platform for better customer support quality.
    • Developed an automated data pipeline for extracting/scraping data from CS websites using MongoDB and AWS with S3.
    • Deployed a Question-Answering NLP system over HTML text to answer CS questions given a company knowledge base using AWS and Fast-API.
    • Deployed a Search Engine system using Elasticsearch engine.
  • Factored.AI
    • Implemented a Zero-Shot classification system for various use cases using NLP SOTA, dockers and Fast-API.
    • Worked on creating a Curriculum Vitae(CV) parsing system where it can extract all the needed information from it using NER modules and other NLP algorithms.
    • Created an HR Matching tool , helps to match candidates with job descriptions and gives a score to each candidate with a proper explanation to each score.

AI Engineer at Integrated Development, Egypt, Nov 2018 - Apr 2019

  • Developed Arabic NLP modules like chatbots, intent detection and NER. 
  • Helped in developing an online travel agency platform using AI technology to facilitate and improve user experience, solving problems like record linkage database with ML.
  • R&D in stock market prediction with reinforcement learning and time series forecasting. 
  • Developed an automated testing system for stock market predictions using trading indicators and hypothesis testing.

Machine Learning Developer at Egyx.ai, Egypt, May 2017 - Aug 2018

  • Developed Arabic Chatbots for restaurants customer services.
  • R&D in AI Arabic home assistant. 


Projects

Novel Ensample Learning Approach to Unsupervised Record Linkage

  • Implementing a semi supervised approach to solve record linkage database problem. 
  • The proposed approach is to train a self learning adding automatic seed selection. 
  • Achieving around 85% accuracy outperforming simpler methods like TF-IDF.

Tweets Author verification

  • Research project in which I try to outperform some of the benchmarks with simpler methods. 
  • Calculating Z scores for top N-words and compare them together. 
  • Used SVM classier with a different set of features like lexical diversity and number of hashtags. 
  • Used one-shot learning with the Siamese network to achieve 87% accuracy.

MASRI(GP)

  • A home assistant that takes voice commands and perform services. 
  • Controlling smart devices , playing music and scheduling tasks etc.
  • Responsible for Voice recognition modules, trigger word, Text To Speech. 
  • Deployed the services on Heroku Server with Django. 
  • The project won IEEE Hackathon and joined the Nile University accelerator program and got funded.

Mwaslaty App

  • Android App helps the user to find the best transportation to reach a certain destination. 
  • worked with PHP to deal with the database using SQL to insert and acquire data.
  • Deployed the service on backend server with PHP and Django.

Awards and Certificates


  • A graduate of Next Technology Leader(NTL) program which is held every year in Smart Village Egypt.
  • Over 20 Coursera and Udacity courses on machine learning, python programming, data analysis

Technical Skills


Programming

python, C/C++, R, SQL, mongoDB


Machine Learning

linear/logistic regression, KNN, SVM, randomforest, XGBoost, sklearn


Deep Learning

RNN, CNN, transformers, keras, pyTorch, tensorFlow, huggingface

Data Analysis

statistical tests, P-value, visualizations, descriptive/inferential statistics, plotly, matplotlib, scipy


Mathematics/Statistics

vectors, matrices, differential/integral calculus, random variables, probability distributions, Bayesian statistics  


Miscellaneous

Linux/Ubuntu, AWS stack, docker, fast-API, scrapy, Elasticsearch


























































简历
个人档案

    Ahmed Magdy

   [email protected] • Medellin, Colombia  

Computer Science Engineer, love everything related to technology, interested in Machine learning/AI, also a bit of gamer.


Education

Helwan University, Bachelor of Engineering Sep 2018

Major: computer science

GPA: very good (the tenth)

Work Experience

Machine Learning Engineer at AI Fund, Colombia, Oct 2019 - present

  • Rustle.co
    • Developed a customer service AI platform for better customer support quality.
    • Developed an automated data pipeline for extracting/scraping data from CS websites using MongoDB and AWS with S3.
    • Deployed a Question-Answering NLP system over HTML text to answer CS questions given a company knowledge base using AWS and Fast-API.
    • Deployed a Search Engine system using Elasticsearch engine.
  • Factored.AI
    • Implemented a Zero-Shot classification system for various use cases using NLP SOTA, dockers and Fast-API.
    • Worked on creating a Curriculum Vitae(CV) parsing system where it can extract all the needed information from it using NER modules and other NLP algorithms.
    • Created an HR Matching tool , helps to match candidates with job descriptions and gives a score to each candidate with a proper explanation to each score.

AI Engineer at Integrated Development, Egypt, Nov 2018 - Apr 2019

  • Developed Arabic NLP modules like chatbots, intent detection and NER. 
  • Helped in developing an online travel agency platform using AI technology to facilitate and improve user experience, solving problems like record linkage database with ML.
  • R&D in stock market prediction with reinforcement learning and time series forecasting. 
  • Developed an automated testing system for stock market predictions using trading indicators and hypothesis testing.

Machine Learning Developer at Egyx.ai, Egypt, May 2017 - Aug 2018

  • Developed Arabic Chatbots for restaurants customer services.
  • R&D in AI Arabic home assistant. 


Projects

Novel Ensample Learning Approach to Unsupervised Record Linkage

  • Implementing a semi supervised approach to solve record linkage database problem. 
  • The proposed approach is to train a self learning adding automatic seed selection. 
  • Achieving around 85% accuracy outperforming simpler methods like TF-IDF.

Tweets Author verification

  • Research project in which I try to outperform some of the benchmarks with simpler methods. 
  • Calculating Z scores for top N-words and compare them together. 
  • Used SVM classier with a different set of features like lexical diversity and number of hashtags. 
  • Used one-shot learning with the Siamese network to achieve 87% accuracy.

MASRI(GP)

  • A home assistant that takes voice commands and perform services. 
  • Controlling smart devices , playing music and scheduling tasks etc.
  • Responsible for Voice recognition modules, trigger word, Text To Speech. 
  • Deployed the services on Heroku Server with Django. 
  • The project won IEEE Hackathon and joined the Nile University accelerator program and got funded.

Mwaslaty App

  • Android App helps the user to find the best transportation to reach a certain destination. 
  • worked with PHP to deal with the database using SQL to insert and acquire data.
  • Deployed the service on backend server with PHP and Django.

Awards and Certificates


  • A graduate of Next Technology Leader(NTL) program which is held every year in Smart Village Egypt.
  • Over 20 Coursera and Udacity courses on machine learning, python programming, data analysis

Technical Skills


Programming

python, C/C++, R, SQL, mongoDB


Machine Learning

linear/logistic regression, KNN, SVM, randomforest, XGBoost, sklearn


Deep Learning

RNN, CNN, transformers, keras, pyTorch, tensorFlow, huggingface

Data Analysis

statistical tests, P-value, visualizations, descriptive/inferential statistics, plotly, matplotlib, scipy


Mathematics/Statistics

vectors, matrices, differential/integral calculus, random variables, probability distributions, Bayesian statistics  


Miscellaneous

Linux/Ubuntu, AWS stack, docker, fast-API, scrapy, Elasticsearch