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最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
職場能力評價定義
ISLAM SHERIF AHMED
- Phone: +201284976451 / +201010802409 Address : El-Zatoon, Amerya Cairo
- Email: [email protected] Military Status: Exempted
- LinkedIn : www.linkedin.com/in/islam-sherif-264093118/ Date of Birth: 11-11-1995
Work Experience
Product Manager @
SHEBAK Sep 2020 - Present
Became a Product Manager in Shebak, Working on a plan for our ERP system, analyzing the new features to be developed in the best way & technologies to use.
Software Engineer @
SHEBAK Sep 2019 - Present
Working at Shebak as a Software engineer & Odoo Developer, Developing and implementing new modules, Using (Python ODOOO, Psql, HTML, CSS, JS).
Freelancer Machine Learning Engineer
April 2019 - Oct 2020
Working as a Freelancer Developing Machine Learning Models.
Machine learning Engineer @
Bright Creations Oct 2018 - June 2019
Working at Bright Creations as a Machine Learning engineer, On Computer Vision (Facial Recognition projects) .
Education
BSc in Computer Engineering, Helwan Uni. 2013 — 2018
- Specialized in Software Engineering, Cloud infrastructure, Distributed systems & Machine Learning .
- Volunteered as a PR for Hult Prize Helwan Uni.
Projects
PASSIN attendance system
Face recognition attendance system on Android, So you can replace the fingerprint Devices,
Built with the Facial Recognition Library and SDK .
Facial Recognition APIs & SDK
Build Facial recognition Classifier Using Pre-trained Model based on Deep Face & FaceNet Papers,
Exported the classifier so it can run on Android, And Implemented Rest APIs so you can use it as a Library on its own.
- Technologies & Tools : *ML ( Tensorflow, Scikit Learn, Keras, OpenCV) *Backend (Django, REST framework, Oauth, MYSQL)
Machine Learning courses projects
Implemented machine learning algorithms that I learned from ML specialization from Washington University the algorithms are (linear regression - ridge regression - lasso regression - logistic regression - decision tree algorithm - decision tree with Ada Boosting - K nearest neighbor - locality hashing nearest neighbor-K means algorithm - Expectation–maximization (em) algorithm ).
Mwaslaty APP
Mwaslaty is Android application that helps the user to find the shortest path and minimum time and cost to reach his way, it will minimize the effort that the user makes to find his way when he tries to reach a new destination.
Tech Skills
Machine learning
All self-learning Courses from Udemy& Coursera specialization how to implement from scratch regression, classification, clustering algorithms.
ERP Systems/ ODOO
Been working on Developing and Implementing Erp modules with ODOO framework, Postgress database .
Django
Using Django as a Backend and Rest APIs & apply micro services.
Python
Took many courses on it (Python for everyone Specialization), used it for implementing machine learning algorithms and Backend.
Linux
Experience on how to work and programming with Linux Fedora and Ubuntu environment.
GIT
Using Version-control systems (Git Lab / Git Hub ) .
Documentation
Made a lot of formal Documents for Software projects (ReadMe files), API Documenting and presentations .
Courses
Machine Learning Specialization
- Machine Learning Foundations: A Case Study Approach .
- Certificate : www.coursera.org/account/accomplishments/certificate/YLM23S7Z5ULQ
- Machine Learning: Regression.
- Certificate : www.coursera.org/account/accomplishments/certificate/YYHLWGGNTBCM
- Machine Learning: Classification.
- Certificate : www.coursera.org/account/accomplishments/certificate/LYHQ83QBJLJA
- Machine Learning: Clustering & Retrieval.
- Certificate : www.coursera.org/account/accomplishments/certificate/BNWD59UNDFN7
Python for Everybody Specialization
Online Python Specialization by the University of Michigan on Coursera
Software Processes and Agile Practices
Course by The University of Alberta on Coursera.
Amit Java J2SE
Java Standard Edition Diploma certified course at AMIT ( 2015 ).
ISLAM SHERIF AHMED
- Phone: +201284976451 / +201010802409 Address : El-Zatoon, Amerya Cairo
- Email: [email protected] Military Status: Exempted
- LinkedIn : www.linkedin.com/in/islam-sherif-264093118/ Date of Birth: 11-11-1995
Work Experience
Product Manager @
SHEBAK Sep 2020 - Present
Became a Product Manager in Shebak, Working on a plan for our ERP system, analyzing the new features to be developed in the best way & technologies to use.
Software Engineer @
SHEBAK Sep 2019 - Present
Working at Shebak as a Software engineer & Odoo Developer, Developing and implementing new modules, Using (Python ODOOO, Psql, HTML, CSS, JS).
Freelancer Machine Learning Engineer
April 2019 - Oct 2020
Working as a Freelancer Developing Machine Learning Models.
Machine learning Engineer @
Bright Creations Oct 2018 - June 2019
Working at Bright Creations as a Machine Learning engineer, On Computer Vision (Facial Recognition projects) .
Education
BSc in Computer Engineering, Helwan Uni. 2013 — 2018
- Specialized in Software Engineering, Cloud infrastructure, Distributed systems & Machine Learning .
- Volunteered as a PR for Hult Prize Helwan Uni.
Projects
PASSIN attendance system
Face recognition attendance system on Android, So you can replace the fingerprint Devices,
Built with the Facial Recognition Library and SDK .
Facial Recognition APIs & SDK
Build Facial recognition Classifier Using Pre-trained Model based on Deep Face & FaceNet Papers,
Exported the classifier so it can run on Android, And Implemented Rest APIs so you can use it as a Library on its own.
- Technologies & Tools : *ML ( Tensorflow, Scikit Learn, Keras, OpenCV) *Backend (Django, REST framework, Oauth, MYSQL)
Machine Learning courses projects
Implemented machine learning algorithms that I learned from ML specialization from Washington University the algorithms are (linear regression - ridge regression - lasso regression - logistic regression - decision tree algorithm - decision tree with Ada Boosting - K nearest neighbor - locality hashing nearest neighbor-K means algorithm - Expectation–maximization (em) algorithm ).
Mwaslaty APP
Mwaslaty is Android application that helps the user to find the shortest path and minimum time and cost to reach his way, it will minimize the effort that the user makes to find his way when he tries to reach a new destination.
Tech Skills
Machine learning
All self-learning Courses from Udemy& Coursera specialization how to implement from scratch regression, classification, clustering algorithms.
ERP Systems/ ODOO
Been working on Developing and Implementing Erp modules with ODOO framework, Postgress database .
Django
Using Django as a Backend and Rest APIs & apply micro services.
Python
Took many courses on it (Python for everyone Specialization), used it for implementing machine learning algorithms and Backend.
Linux
Experience on how to work and programming with Linux Fedora and Ubuntu environment.
GIT
Using Version-control systems (Git Lab / Git Hub ) .
Documentation
Made a lot of formal Documents for Software projects (ReadMe files), API Documenting and presentations .
Courses
Machine Learning Specialization
- Machine Learning Foundations: A Case Study Approach .
- Certificate : www.coursera.org/account/accomplishments/certificate/YLM23S7Z5ULQ
- Machine Learning: Regression.
- Certificate : www.coursera.org/account/accomplishments/certificate/YYHLWGGNTBCM
- Machine Learning: Classification.
- Certificate : www.coursera.org/account/accomplishments/certificate/LYHQ83QBJLJA
- Machine Learning: Clustering & Retrieval.
- Certificate : www.coursera.org/account/accomplishments/certificate/BNWD59UNDFN7
Python for Everybody Specialization
Online Python Specialization by the University of Michigan on Coursera
Software Processes and Agile Practices
Course by The University of Alberta on Coursera.
Amit Java J2SE
Java Standard Edition Diploma certified course at AMIT ( 2015 ).