Ahmed S
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.
Fullstack Engineer Preferred Title
$25.00 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 7.0 hours
- Average Count of Messages/Day 2.1
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 14h PST, 63h UTC
- No. of Onboarding MCQs Completed 87 More details
- Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 4.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- English Communication 3.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone iPhone
- Member Since Nov 26, 2024
- Profile Last Updated Apr 29, 2025
- Last Activity May 17, 2025, 9:53 p.m. UTC
- Location Egypt
Profile Summary
I am a versatile full-stack engineer with experience in React, Node.js, Django, and machine learning using PyTorch. I’ve built robust backend engines for digital twin solutions, optimized data pipelines for better frontend performance, and created advanced GAN models for probabilistic forecasting in the oil industry. My work with companies like Dar, Lamar, Raise, and the National Bank of Egypt highlights my ability to deliver high-impact solutions across various industries
Skills
Total Experience: 4 years
Nodejs (2E, 3Y)
2 experiences, across 3 yearsThree.js (2Y)
2 years of experienceContinuous Deployment (2Y)
2 years of experienceReact (2Y)
2 years of experienceTypescript (2Y)
2 years of experienceJavaScript (2Y)
2 years of experienceAndroid Studio (2E, 2Y)
2 experiences, across 2 yearsTensorflow (2Y)
2 years of experienceGoogle Colab (2E, 2Y)
2 experiences, across 2 yearsAngular (2Y)
2 years of experienceDesign Patterns (2Y)
2 years of experienceTmux
PyTorch (2E)
2 experiencesFlask
AWS
Generative Adversarial Networks
R (5Y)
5 years of experiencescikit-learn
Numpy
Web scrapers
Beautifulsoup
Regex
Data Preprocessing
Kubernetes (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 14h PST, 63h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
05 - 15
05 - 15
05 - 15
05 - 15
05 - 15
05 - 15
05 - 15
PST
22 - 08
22 - 08
22 - 08
22 - 08
22 - 08
22 - 08
22 - 08
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
Full Stack Developer
Employment
Aug 2024 - Jul 2025
Yassir Inc. Company
Ecommerce Industry
Project: Last Mile Delivery Domain.
- I used Angular to Maintain and Develop their admin panel used to control and configure the company's different application across myriad domains, I learned and built on some insightful design patterns
- I work with nodejs to maintain the backend services of my squad inside the Last Mile Delivery domain.
Full Stack Developer
Employment
Jun 2023 - Jul 2024
Dar El Handsa Company
Technology Industry
Project: Para Digital Twin
- Developed the UI for a digital twin platform using React, incorporating React Hooks, Redux, Three.js, and styled with CSS, SCSS, JSS. Also utilized Storybook for component presentation and testing.
- Integrated Three.js to visualize 3D models and enhance the digital twin platform's interactive features
- Developed backend services with Nodejs, using TypeScript and JavaScript, Mongoose, and Sequelize to manage MongoDB and PostgreSQL databases, powering APIs consumed by React hooks.
- Express & Swagger: Created REST APIs with Express, documented using Swagger for clear API specifications.
- Continuous deployment: using Ansible and Terraform for continuous integration and delivery to Azure, with automated processes orchestrated through GitHub Actions and application management via PM2.
Software Engineer
Contract
Jan 2022 - Jun 2022
Lamar.ai Company
Technology Industry
Project: Demo Platform
- Backend Service: Created a Flask backend at Lamar.ai to host and process images using a YOLO model with PyTorch, enabling efficient image analysis
- Deployment: Deployed the backend service and frontend on AWS, utilizing tmux for process management and ensuring reliable service operation.
- Android App: Developed an Android app in Android Studio to replicate the web application’s functionality, providing a seamless user experience across platforms.
Student
Passion Project
Sep 2021 - Jun 2022
American University in Cairo Company
Research Industry
Project: A Universal Indoor Localization System
- Tensorflow: Extracting global parameters that can be used in a universal model that can function in different indoor Environments that the model didn’t train on.
- Enacting the concept of virtual building to solve the problem of different configuration in the same Environment.
- Google Colab: Designing Experiments to be conducted on different metrics to distinguish the merits of our newly devised model.
- Developing the online version of our application through Android Studio that performed live predictions harnessing an aws ec2 instance.
- The paper for this work was accepted for presentation in Globecom 2023, one of the two flagship conferences for IEEE communications society.
Data Scientist
Contract
Jan 2022 - May 2022
Data Science Hub Company
Energy Industry
Project: Raisa Energy Oil Production Forecasting
- Studying the oil production dataset of various basins across the US and explored the possibility of using Generative Adversarial Networks in creating a probabilistic forecasting model.
- Pytorch: Harnsess tensorboard for data visualization and implemented different loss functions for the GANs to compare their performance.
- Implemented probabilistic metrics like PICP and PINAW and participated in writing the paper in collaboration with Raisa Energy
Data Scientist
Contract
Jan 2022 - Feb 2022
Giza Capital Partners Company
Finance Industry
Project: Data Extraction for Target Firm Analysis
- Web scrapers (Beautifulsoup): Utilized Beautiful Soup to scrape and extract key information, including contact details, from the web for Capital Giza Partners' target firms.
- Python Regex: Applied Python regular expressions to efficiently parse and filter relevant data, ensuring accurate extraction of critical information
- Data Preprocessing: Leveraged Python for processing and cleaning the scraped data, preparing it for analysis and integration into Capital Giza Partners' systems.
Data Scientist
Internship
Sep 2021 - Dec 2021
Data Science Hub Company
Finance Industry
Project: Central Bank of Egypt Nowcasting model
- Model Selection: Collaborated with Data Science Hub to develop Google Colab notebooks, utilizing scikit-learn, NumPy, and R libraries to identify optimal statistical models.
- Midas Regression: Led the initiative to use Midas Regression for nowcasting low-frequency GDP with high-frequency variables, improving economic forecasting accuracy
Qualifications
Education
American University in Cairo
Sep 2017 - Jan 2023
Bachelor of Science (Computer Engineering)
Courses