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Mostafa Abdelmegeed
Cairo, Egypt
Graduated with Systems and Biomedical Engineering B.Sc. from Cairo University. Worked on multiple projects that require a diverse skillset from simple desktop/mobile applications to deploying massive machine learning models. Additionally, I have worked on a couple of research projects. Projects I am most proud I worked on: 1- Accelerating Monte Carlo Simulation of Light Propagation in Turbid Tissue using Parallel Computing and Distributed Systems. 2- Marauder Map, built on Triangulation Algorithm for localization and ReactJs for Front-End. 3- Attendance System, using two layers of authentication, QR-Code and a biometric. Exploring fields like Software Product Management and Business Intelligence.
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
290.8
CodersRank Rank
Top 3%
Based on:
4 eventsTop 10
C
Developer
Egypt
Top 10
C++
Developer
Egypt
Top 50
Python
Developer
Egypt
Highest experience points: 0 points,
0 activities in the last year
Python
57.3
exp.
C
60.7
exp.
C++
52.7
exp.
Java
26.1
exp.
JavaScript
19.6
exp.
CSS
18.4
exp.
HTML
17.6
exp.
JSON
12.4
exp.
MATLAB
11.7
exp.
Jupyter Notebook
6.3
exp.
List your work history, including any contracts or internships
Valeo
Mar 2022 - Aug 2022 (5 months)
Software Engineer
Mid-Level Simulation Team Software Engineer
Advi
Sep 2020 - Dec 2020 (3 months)
Software Engineer
Responsible for:
* Reverse Engineering a massive project in legacy code.
* Refactor and optimize the same project using current technologies.
* Test units and Test cases.
* Documenting and Reporting in different methods i.e. videos, audios, and text.
* Reverse Engineering a massive project in legacy code.
* Refactor and optimize the same project using current technologies.
* Test units and Test cases.
* Documenting and Reporting in different methods i.e. videos, audios, and text.
9 months
Software Engineer
Jul 2020 - Sep 2020 (2 months)
Worked on:
* JSON Desktop Editor
A Desktop application built to open, edit, and save JSON files.
* JSON Desktop Editor
A Desktop application built to open, edit, and save JSON files.
Android Developer
Jun 2018 - Jan 2019 (7 months)
Worked on:
1- Maradauer Map Application.
2- Fat Grinder Application.
1- Maradauer Map Application.
2- Fat Grinder Application.
R&D Engineer
Jun 2018 - Aug 2018 (2 months)
Was responsible for:
* Collecting and Documenting Education Statistics.
* Surveying and Data Gathering.
* Conveying Conclusions out of Data at hand.
* Collecting and Documenting Education Statistics.
* Surveying and Data Gathering.
* Conveying Conclusions out of Data at hand.
Add some compelling projects here to demonstrate your experience
Monte Carlo Simulation of Light Propagation
Jul 2019 - Aug 2020
Cairo University
The simulation of light propagation in biological tissue has always been an important issue for its significant applications in optical imaging and biomedical research. Light modeling gives more information about tissue composition by simulating light-tissue interaction, which helps in the verification and improvement of optical imaging modalities and determining the suitable parameters for real tissue. Therefore, we simulate the process, investigate the results, and act upon them. Biological tissue is considered as a turbid medium that exhibits both strong absorption and scattering, which makes light modeling a complex and challenging problem. Therefore Monte Carlo (MC) simulation was our key to a precise light propagation model as it provides a flexible and rigorous solution for light transport in turbid media. Achieving high accuracy
by simulating a large number of photons is accompanied by high computational cost which limits the range of applicability.
To address this limitation, parallel computation is the most preferred approach for acceleration. We present our model on a distributed system by which we are able of using more than one GPU at the same time, where each GPU is capable
of handling thousands of threads simultaneously, each thread simulates one photon thus we can simulate a huge number of photons. Consequently, we achieve an accelerated model by maintaining the desired accuracy.
by simulating a large number of photons is accompanied by high computational cost which limits the range of applicability.
To address this limitation, parallel computation is the most preferred approach for acceleration. We present our model on a distributed system by which we are able of using more than one GPU at the same time, where each GPU is capable
of handling thousands of threads simultaneously, each thread simulates one photon thus we can simulate a huge number of photons. Consequently, we achieve an accelerated model by maintaining the desired accuracy.
This section lets you add any degrees or diplomas you have earned.
Cairo University
Bachelor of Engineering - BE, Biomedical/Medical Engineering
Dec 2014 - Dec 2019
Udacity
Nanodegree, Data Analysis
Dec 2019 - Dec 2019
* Learning Outcomes
- Practical Statistics
1- Apply inferential statistics and probability to real-world scenarios using Python
2- Create and analyze the results of hypothesis testing
3- Create and analyze A/B test results
4- Build regression models in Python
- Data Visualization
1- Build visualizations using different design elements
2- Use visualizations to explore your data
3- Use visualizations to communicate your insights
- Practical Statistics
1- Apply inferential statistics and probability to real-world scenarios using Python
2- Create and analyze the results of hypothesis testing
3- Create and analyze A/B test results
4- Build regression models in Python
- Data Visualization
1- Build visualizations using different design elements
2- Use visualizations to explore your data
3- Use visualizations to communicate your insights
Atef Barakat Language School
High school Diploma, General Studies
Dec 2011 - Dec 2014
Introduction to Software Product Management
Jul 2020
Cisco Certified Network Professional (CCNP)
May 2020
Neural Networks and Deep Learning
Aug 2020