Personal details
Mohamed M.
Based in: 🇪🇬 Egypt
Timezone: Cairo (UTC+3)
Summary
Mohammed is a highly skilled Machine Learning Engineer with 5+ years of experience and a proven track record in delivering innovative solutions.
He brings deep expertise in Python, SQL, Computer Vision, NLP, and cloud platforms like Google Cloud and AWS.
Mohammed's contributions include applying advanced ML research to optimize 4G/5G networks, architecting cloud-based ML solutions, and developing a synthetic data generator using generative AI. With a strong background in CI/CD and MLOps, he's your key to cutting-edge AI solutions and transformative data insights. Connect with Mohammed for results-driven AI expertise.
🛠️ Skills:
- Languages: Python, SQL, Scala
- Tools: Git, Pandas, PySpark
- Expertise: Computer Vision, NLP
- Cloud: Google Cloud Platform
- Frameworks: TensorFlow, PyTorch
- CI/CD and MLOps
📈 Achievements:
- Applied state-of-the-art ML research to enhance 4G/5G networks.
- Architected ML solutions on the cloud using GCP Vertex AI and AWS SageMaker.
- Deployed and monitored ML models using modern MLOps practices.
- Led the development of a synthetic data generator using generative AI algorithms.
Technical skills
Top 3 skills
Work Experience
Machine Learning Engineer
Vodafone | Oct 2021 - Present
Python
SQL
Scala
Git
Pandas
Computer Vision
NLP (Natural Language Processing)
Google Cloud Platform
Apache Spark
TensorFlow
CI/CD
PyTorch
MLOps
- Appling state of the art ML research into the field of radio 4G/5G networks providing customers with deep insights that can not be detected by existing domain knowledge
- Architecting the ML solution on the cloud using modern ML end-to-end platforms (GCP vertex AI, AWS sagemaker)
- Deploying and monitoring ML models in the production using modern MLOPS best practices
- Lead the product of a synthetic data generator, a platform that relies on generative AI algorithms that helps users synthetically generate new data sets and evaluate the quality of generation
Machine Learning Engineer
Aeye Tech Labs | Sep 2020 - Oct 2021
Python
Machine Learning
Computer Vision
Apache Kafka
PyTorch
- Aeye tech lab main mission is to apply state of the art computer vision algorithms in facilities security
- Researched and implemented deep learning based object detection and multi object tracking algorithms
- Researced and implemented deep learning based fraud/anomaly detection from CCTV camera feeds
- designed end to end MLOPS pipeline to train ,test and deploy computer vision models into production on google cloud platform
Education
Cairo university
Bachelor's degree・Computer engineering
Sep 2011 - Aug 2016
Personal Projects
2020
Python
Flask
Computer Vision
Data Visualization
Object-Oriented Programming
- developed AI (Artificial Intelligence) assisted real time automated social distancing monitoring tool as web service to help fight COVID-19
- tool demo :) : https://www.youtube.com/watch?v=DZuQx-7HbkY
Certifications & Awards
Google certified professional machine learning engineer
google cloud platform | Oct 2022