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Omar S - Computer vision developerLD Talent logo

Omar S

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Software Engineer Preferred Title
$21.00 /hr $ 25.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences LD Experiences Qualifications Reviews
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 5.6 hours
  • Average Count of Messages/Day 4.4
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 8h PST, 20h UTC
  • Earned Hours 205.00
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (3.6/5)
  • Software Engineering Process 3.0/5
  • Technical Breadth 4.0/5
  • Algorithmic Thinking 4.0/5
  • Technical Strength 3.0/5
  • Teamwork 3.0/5
  • Intellectual Merit 4.0/5
  • English Communication 4.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Feb 10, 2022
  • Profile Last Updated Dec 23, 2022
  • Last Activity May 27, 2023, 6:34 a.m. UTC
  • Location Egypt
  • Current Status Student
Profile Summary
I'm interested in continuing to develop my skillset in machine learning and understanding the real-world applications of using big data to make robust predictions.
Skills
Total Experience: 2 years
  • Computer vision (1E, 1Y)

    1 experience, 1 year
  • Natural language processing (1E, 1Y)

    1 experience, 1 year
  • Numpy (2E, < 1Y)

    2 experiences, less than a year
  • Pandas (2E, < 1Y)

    2 experiences, less than a year
  • Tensorflow (1E, < 1Y)

    1 experience, less than a year
  • keras (1E, < 1Y)

    1 experience, less than a year
  • Matplotlib (2E, < 1Y)

    2 experiences, less than a year
  • Machine learning (1E, < 1Y)

    1 experience, less than a year
  • scikit-learn (1E, < 1Y)

    1 experience, less than a year
  • Django (1E, < 1Y)

    1 experience, less than a year
  • SQL (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 8h PST, 20h UTC
Day
Sunday
Monday
Wednesday
Thursday
UTC
10 - 15
10 - 15
10 - 15
10 - 15
PST
03 - 08
03 - 08
03 - 08
03 - 08
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Software Developer
Contract
Aug 2022 - Sep 2022
LD Talent Company
Technology Industry
Project: Top wanted skills
  • SQL
  • Django
  • Retrieved data from SQL database to get the top wanted skills by clients and get developers who are not working on a project.
  • Created a cron using Django that sends a slack message to unassigned developers to suggest they do a learning project using one of the top wanted skills to enhance their profiles.
Student
Course Project
Sep 2021 - Dec 2021
the American university in Cairo Company
Education Industry
Project: music genre classification using deep neural networks
  • Numpy
  • scikit-learn
  • Machine learning
  • Pandas
  • used the librosa library to extract features from 1000 different songs
  • used pandas to perform standard scaler preprocessing to preprocess the data and clear it
  • numpy was used to implement neural network model
  • used scikit-learn to measure the recall, precision, accuracy and f1-score of my model
  • machine learning feature extraction techniques were used to make the learning process more smooth
Website Links
  • https://colab.research.google.com/drive/1huNGiU9KdIWwE9m3AH5Ef_PwrqE3Cc0B?usp=sharing
Student
Course Project
Jan 2021 - May 2021
the American university in Cairo Company
Education Industry
Project: Single-Image-Colorization-and-Super-Resolution
  • Matplotlib
  • keras
  • Tensorflow
  • The Super Resolution Part was done using using Tensorflow and keras to create two networks (Modified EDSR and DQE) one to upscale the image by 2x and the other is to make the image more natural.
  • For the Colorization part, a deep CNN was used with about 24M trainable parameters with the last layer predicting the AB channels of the LAB color scale. Then the AB predicted channels are joined.
  • Matplotlib was used to display the images.
Github Links
  • https://github.com/O-Shaheen/Single-Image-Colorization-and-Super-Resolution
Software Engineer
Internship
Jan 2021 - Feb 2021
Benchmarq Labs Company
Technology Industry
Project: social network analysis
  • Numpy
  • Matplotlib
  • Pandas
  • used pandas to preprocess the data and put it in the needed format
  • used networkx to construct a graph of the most prominent actors given a topic
  • used matplotlib to plot the several statistics about the actors
  • used numpy, the network and pandas to extract the position, salience and capability of the top 10 most influential actors in a topic
Website Links
  • https://colab.research.google.com/drive/1nzSVmPm0kcPmEZantzuc8Fef-_gOMfpi?usp=sharing
LD Experience
Client Projects
Developer
Contract
Apr 2022 - Dec 2022
LD Talent Client's Company/Project
  • Computer vision
  • Natural language processing
  • I created a background removal using computer vision.
  • I implemented a grammar checker using natural language processing tools.
Making good progress. Takes feedback well. Overall looking forward to more work with him.
Review given by the client for this project.
Coding Challenges
Skill:
  • Computer vision
  • Natural language processing
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Computer vision
  • Natural language processing
  • Led user research for a new construction site documentation tool.
  • Hosted workshops to synthesize user insights into design requirements.
  • Designed 3D concepts and built prototypes to investigate new tool form factors.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Computer vision
  • Natural language processing
  • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
  • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
  • I used the REST architecture in designing my API.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
Qualifications
Education
The American University in Cairo
Aug 2017 - May 2022
B.Sc (computer engineering)
Reviews
Client Project Reviews
LD Talent
Making good progress. Takes feedback well. Overall looking forward to more work with him.
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