- Location
- Toronto, Ontario, Canada
- Bio
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Hi, I'm Omar Farag, currently pursuing a degree in Electrical Engineering with a minor in Computer Science at Toronto Metropolitan University, where I've achieved a 4.1 GPA. My experience spans Machine Learning and Software Engineering, honed through internships at Epiloid Biotechnology and Shopify Inc. There, I've enhanced my skills in data analysis and improved store functionalities. I'm skilled in Java, Python, C++, and various web development technologies. I have a deep passion for the power of technology to solve problems and am always eager to connect with others to explore tech innovations together.
- Resume
- EEE_Resume (2).pdf
- Portals
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Toronto, Ontario, Canada -
Toronto, Ontario, Canada
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- Categories
- Data analysis Data modelling Electrical engineering Biotechnology Software development
Skills
Socials
Achievements
Latest feedback
Recent projects
AI-Generated Health Chronic Illness Skin Images Project
The main goal for the project is to train and leverage AI to generate appropriate images of health chronic illness on the skin for the purpose of health education and health advocacy, particularly for Black and racialized populations. The project aims to use AI technology to create visual representations of skin conditions that are commonly experienced by these communities, in order to provide better health education and advocacy.
Artificial Intelligence & Machine Learning Application
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.
Work experience
Machine Learning Intern
Epiloid Bi-technology Limited
Toronto, Ontario, Canada
June 2023 - Current
Developed a Python-based data analysis framework utilizing SciPy and NumPy, improving data analysis efficiency
by 20% and supporting cloud infrastructure development.
• Implemented a neural network classifier with TensorFlow and Keras, boosting the accuracy of neurological data
interpretation by 15% and enhancing product specification and development.
• Optimized data visualization tools using Matplotlib and Seaborn, reducing data processing time by 25% and aiding
in the implementation of client-focused reporting systems.
Education
Bachelor's, Electrical Engineering
Toronto metropolitan University
September 2022 - Current
Personal projects
VitalSync V2
April 2023 - Current
Led the development of VitalSync V2, a patient monitoring system, improving surveillance accuracy by 40% and
aligning with the healthcare market’s evolving needs.
• Implemented machine learning algorithms using TensorFlow, enhancing early detection capabilities and
contributing to the product’s growth and development.
• Developed a user-friendly interface for clinical specialists, incorporating feedback from client meetings to ensure
effectiveness in emergency situations.
Beyond Scope
January 2023 - March 2023
Programmed an auto-diagnosis system for medical imaging with 72% accuracy, leveraging TensorFlow and
addressing a critical market need in MRI and X Ray analysis.
• Built an enhanced user interface with React, streamlining the process for medical professionals to manage
auto-diagnoses and report generation.
• Ensured secure patient data transmission using SSL/TLS encryption, meeting stringent documentation and
compliance standards.