Omar S
This talent has passed a rigorous process of technical and soft skills interviews, system design tests, background checks, onboarding exams, and has successfully completed technical and soft skills challenges, or has demonstrated their capabilities through on-platform work.
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$30.00 /hr $ 50.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 5.4 hours
- Average Count of Messages/Day 3.0
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 12h PST, 20h UTC
- Earned Hours 275.50
- No. of Onboarding MCQs Completed 207 More details
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since Feb 10, 2022
- Profile Last Updated May 23, 2024
- Last Activity May 16, 2025, 12:35 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: 4 years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 12h PST, 20h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
18 - 20
17 - 20
18 - 20
17 - 20
18 - 20
09 - 13
09 - 13
PST
11 - 13
10 - 13
11 - 13
10 - 13
11 - 13
02 - 06
02 - 06
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
Experience
Software Developer
Contract
Aug 2022 - Sep 2022
LD Talent Company
Technology Industry
Project: Top wanted skills
- 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
- 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
Student
Course Project
Jan 2021 - May 2021
the American university in Cairo Company
Education Industry
Project: Single-Image-Colorization-and-Super-Resolution
- 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.
Software Engineer
Internship
Jan 2021 - Feb 2021
Benchmarq Labs Company
Technology Industry
Project: social network analysis
- 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
LD Experience
Client Projects
Developer
Contract
Apr 2022 - Oct 2024
LD Talent Client's Company/Project
- 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.
Developer
Contract
Apr 2024 - Apr 2024
Stealth Startup 660 Client's Company/Project
Project: StealthStartup660
- used selenium to download PDF files and PyPDF2 to parse PDF text
- used regex and pandas to extract tables from PDFs
Completed data extraction of PDFs effectively and elegantly. Good, clean python code.
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Computer vision
- Natural language processing
- Pandas
- 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.
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Computer vision
- Natural language processing
- Pandas
- 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.
Qualifications
Education
The American University in Cairo [Transcript Confirmed]
Aug 2017 - May 2022
B.Sc (computer engineering)
Reviews
Client Project Reviews
StealthStartup660
Completed data extraction of PDFs effectively and elegantly. Good, clean python code.
LD Talent
Making good progress. Takes feedback well. Overall looking forward to more work with him.