About
My name is Mohamed Sebaie, I'm from Cairo Egypt, I have graduated from the faculty of Petroleum Engineering Suez University in 2017 then I worked in Petroleum Sector but my passion for Artificial Intelligence and Data science motivates me to shift my career. So, I embarked on my learning journey by different MOOCs such as Data Scientist and Data Analyst Track from Data Camp, Deep Learning Specialization and MlOps Specialization from Coursera, and AWS certification for both Data Analytics and ML specialty. Then, I was joining at Information Technology of Institute (ITI) a subsidiary of ministry communication in Egypt, their Scholarship is one of the most prestigious and competitive with an acceptance rate of 7 percent the program I have joined focused on AI and Machine Learning and in partnership with EPITA and graduate from it in February 2022.
Machine Learning Engineer & Data Scientist.
- Birthday: 1 October 1994
- Website: www.example.com
- Phone: +20 1010805540
- City: Egypt, Cairo
- Age: 27
- Degree: Bachelor of Science
- PhEmailone: mohamedsebaie1@gmail.com
- Freelance: Available
During my scholarship at ITI, I have had some internship like the Computer Vision Intern at TechnoColabs Company, I have excelled at designing and developing machine learning, deep learning systems and the deployment on Heurko and the Android App. By implementing a deep learning algorithm into our Distracted Drivers Detection, we were able to focus on driver distraction activities detection via images and is useful for vehicle accident precaution and deployed on Heurko and Docker then on Android APP. Besides, As the Machine Learning Intern at Orange Labs Company, I have excelled at designing and developing machine learning and deep learning systems. By implementing a deep learning algorithm into our Car Crashes Detection App, we were able to detect the car accidents faster to increase the medical treatment for injuries at highways and abounded places.
Areas Of Interests
NLP
Giving computers the ability to understand text and spoken words in much the same way human beings can
Machine Learning
Study of computer algorithms that can improve automatically through experience and by the use of data
Data Science
Uses scientific algorithms and systems to extract insights from noisy, structured and unstructured data
Computer Vision
Deals with how computers can gain high-level understanding from images or videos then automate tasks
Skills Expertisse
1 - Basic 2 - Novice 3 - Intermediate4 - Advanced 5 - Expert
MLOps
Machine Learning
Data Analytics
Resume
Sumary
Mohamed Sebaie
A passionate and self-driven Machine learning Engineer with hands-on experience in machine learning and deep learning contributed to various projects in the fields of Computer Vision, NLP, and Data Science and aiming to pursue a career in this field and push my skills even further by joining a reputable and dynamic corporation to build a career, grow with, take on new challenges and working in a professional team.
- Bachelor's degree of Petroleum Engineering
- Cairo, Egypt
- +201010805540
Education
Post Graduate: The Artificial Intelligence Professional (AI-Pro) Program
04.2021 - 01.2022
INFORMATION TECHNOLOGY INSTITUTE (ITI) & powered by EPITA (AI-PRO).
It is a 9-month post-graduate professional training program in Machine Learning and Artificial Intelligence. The program is developed in partnership with the French Graduate School of Computer Science and Advanced Technologies (EPITA).
Master of Science : Petroleum Engineering
03.2018 - Present
Cairo University
I passed the Pre-Master Year with GPA 3.3 (Max 4.0).
Bachelor of Science : Production Engineering And Petroleum Exploration
10.2012 - 07.2017
SUEZ UNIVERSITY
Graduated with a 3.26 (Max 4.00) GPA and A+ in Graduation Project. Graduated in the Top 10% of Class.
Member of SPE Student Chapter and awarded Outstanding Performance at Fundraising Committee.
High School Certificate (Science) : Mathematics
10.2010 - 07.2012
NOOR EL-SALAM PRIVATE SCHOOL
Graduated with a 99.65% Grade and was Ranked 2nd in my class.
Awarded The Ideal Student by The Minister of Education.
Kaggle Competitions
Arabic Handwritten Characters Recognition
Kaggle Link
Deep Learning Task to Recognize the Arabic Handwritten Characters by CNN
Dry Beans Classification
Kaggle Link
Classification Task To predict the type of a dry bean from its shape features by simple ANN.
Seoul Bike Rental Prediction
Kaggle Link
Predicting the total count of bikes rented during each, using only information available prior to the rental period using time series techniques.
Car Crashes' Severity Prediction
Kaggle Link
Predicting the severity of the crash out of 4 levels based on information about the environment of the car crash.
Professional Experience
AWS Certified Machine Learning - Specialty
01.2022 - Present
Cairo, Egypt
- It's a challenging and specialized credential that proves a technical expert's knowledge with some of the most advanced aspects of designing machine learning solutions and implementing them with AWS.
Computer Vision Engineer, Internship, Technocolabs Software’s, India
12.2021 - 02.2022
India
- I was a Computer Vision Intern and made Distracted Drivers Detection Project which focuses on driver distraction activities detection via images, is useful for vehicle accident precaution, and deployed on Heurko and Docker then on Android APP.
Machine Learning Engineer, Internship, Orange Labs
11.2021 - 01.2022
Cairo, Egypt
- I was a Machine Learning Intern and made Car Crashes Detection From Surveillance Cameras which was achieved by using 2 approaches VIF and 3D Convolution to detect accident or not.
MCIT AWS Practical Data Scientist Training Program(Intake 1)
09.2021 - 03.2022
Cairo, Egypt
- AWS analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job, and are optimized to give you the best performance, scale, and cost for your needs.
Machine Learning Engineer | Data Scientist, Upwork
11.2021 - Present
Cairo, Egypt
- Data Scientist and Machine Learning Engineer at Upwork and working on some jobs
Courses
Data Scientist Track , Data Camp
09.2021 - 12.2021
- Import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.Data Scientist Track With Python (88 hours - 23 Courses - 6 Projects)
Deep Learning Specialization (Coursera)
09.2020 - 12.2020
- In this Specialization, i built and trained neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more.
Certified Deep Learning Specialist CDLS, Epsilon AI
10.2020 - 3.2021
- Practice Deep Learning skills through a series of hands-on labs, assignments, and projects inspired by real-world problems and data sets from the industry. Besides, preparing a Deep learning capstone project that showcase my applied skills.
AI & Data Science Bootcamp, Epsilon AI
05.2020 - 09.2020
- practice Data Science and Machine Learning skills through a series of hands-on labs, assignments, and projects inspired by real world problems and data sets from the industry.
Projects
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Feb, 2022
Distracted Driver Detection Project (Android App)
This project was very beneficial and challenging project as after the training with pretrained ResNet model from Pytorch to build a high-accuracy classifier to distinguish whether drivers are driving safely or experiencing a type of distraction activity. we decided to be deployed as Android App. So, we convert the Pytorch weights to TensorFlow Lite then deploy the model on Heurko and Docker.
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Feb, 2022
Product Data Analyst – Business Case
This Task was to assess Tableau experience and technical skills.
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Jan, 2022
Fight Detection from Surveillance Cameras
This project was achieved to solve by using transfer learning on pre-trained convolutional 3D models that aim to recognize the motions and actions of humans. Vision-based activity recognition is one of the most challenging research topics of computer vision and pattern recognition. A specific application of it, namely, detecting fights from surveillance cameras in public areas, prisons, etc., is desired, to get violent incidents under control quickly to reduce casualties.
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Dec, 2021
Car Crashes Detection Project
The project was very challenging in all aspects and the lake of dataset made us do more research and reading more papers which increased our knowledge and experience to finally decided to create our own dataset and try two approaches on it. The motivation and the spirit in the team is the most important things to achieve more and more. Our main problem was Car Crash Detection which we achieved to solve by using 2 approaches VIF and 3D Convolution
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Nov, 2021
Deepfake Detection
This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.
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March, 2021
Face Mask Detector
This is a simple Streamlit frontend for face mask detection in images using a pre-trained Keras CNN model MobileNetV2 and OpenCV then deploy on Heroku. The Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using this image data set from Kaggle here. The trained model has been shared in the repo. The face detector algorithm comes from the Caffee model.
Certificates
Testimonials
Abdullah Abdelhakem
IoT & Machine Leaning Engineer
It's my pleasure to provide this letter of recommendation for Mohamed Sebaie as a Machine Learning Engineer. He is one of the strongest and smartest machine learning engineers and a petroleum engineer at the same time in the Middle East. He has the ability to deal with any data set and determine the type of machine learning model starting from the first half hour. He is "the king of choosing the machine learning model ". I had the honor of meeting him within a year at ITI and I benefited greatly from his insistence.
Lamiaa Omar
Teaching Assistant
I had the pleasure of working with Mohamed Sebai for 9 months in ITI AI 9 months training program. I would highly recommend working with him he is the most helpful, talented, and professional person. His problem-solving skills stand out among his peers. I remain impressed with his driven work ethic and ability to work creatively under pressure. During the time we worked together, his skills and understanding of our needs and mission helped our team successfully run a great projects.
Mahmoud Salama
Computer Vision Engineer
I worked with Mohamed for 1 Year, he is extremely helpful and knowledgeable, never runs out of ideas. One of the most dedicated and committed Engineers I've ever met. Doesn't back down from any Challenge. Great Leader. You can count on him without a doubt.
Karim Henry
Machine Learning Engineer
Mohamed is one of the most passionate Engineers about what he is doing. He is always motivated and eager to learn more. In addition to being so helpful to others. Luckily, I have worked with him on multiple projects, and I have benefited a lot from him
Contact
Location:
Cairo, Egypt
Email:
mohamedsebaie1@gmail.com
Call:
+20 1010805540