12/10/2024 updated
100 % available
Senior Machine Learning Engineer
Egypt
Worldwide
Bachelor of Mechatronics Engineering, minor in Control and Artificial IntelligenceArtificial IntelligenceAmazon Web ServicesData AnalysisArboricultureComputer VisionMicrosoft AzureC++ (Programming Language)Cloud ComputingNvidia CUDAComputer ProgrammingContinuous IntegrationCryptographyData ManagementDistillationDevOps
AI and Machine Learning
Expertise in developing and deploying AI solutions for edge and embedded systems. Optimization of deep learning models for low-latency, real-time performance in industrial and consumer-grade applications.
Programming and Frameworks
Proficiency in Python, C++, Rust, CUDA, and AI frameworks such as TensorFlow, PyTorch, TensorRT, and OpenVino. Experience with model optimization techniques including pruning, quantization, and distillation.
Edge AI Deployment
Skilled in low-latency deployment, real-time systems, and cross-platform optimization for edge devices. Experience with IoT & Streaming technologies like Kafka, InfluxDB, and AWS IoT Core.
Computer Vision
Expertise in object detection, feature extraction, video analytics, and implementation of CNNs, RNNs, and LSTMs for various vision tasks.
Cloud Platforms
Proficiency in AWS SageMaker, DynamoDB, GCP, and Azure IoT Hub for scalable AI solutions and data management.
DevOps and Version Control
Experience with Git, Docker, CI/CD pipelines for efficient development and deployment workflows.
Privacy-Preserving AI
Implementation of federated learning and homomorphic encryption techniques for secure and privacy-preserving AI solutions.
Expertise in developing and deploying AI solutions for edge and embedded systems. Optimization of deep learning models for low-latency, real-time performance in industrial and consumer-grade applications.
Programming and Frameworks
Proficiency in Python, C++, Rust, CUDA, and AI frameworks such as TensorFlow, PyTorch, TensorRT, and OpenVino. Experience with model optimization techniques including pruning, quantization, and distillation.
Edge AI Deployment
Skilled in low-latency deployment, real-time systems, and cross-platform optimization for edge devices. Experience with IoT & Streaming technologies like Kafka, InfluxDB, and AWS IoT Core.
Computer Vision
Expertise in object detection, feature extraction, video analytics, and implementation of CNNs, RNNs, and LSTMs for various vision tasks.
Cloud Platforms
Proficiency in AWS SageMaker, DynamoDB, GCP, and Azure IoT Hub for scalable AI solutions and data management.
DevOps and Version Control
Experience with Git, Docker, CI/CD pipelines for efficient development and deployment workflows.
Privacy-Preserving AI
Implementation of federated learning and homomorphic encryption techniques for secure and privacy-preserving AI solutions.
Experience
Professional experience0 - 5 years
Freelancer since2021
Languages
ArabicNative speakerGermanFluentEnglishNative speaker
Project history
Optimized CNN and LSTM models for edge devices, developed computer vision pipelines, implemented privacy-preserving AI solutions, and created predictive maintenance systems using LSTM models.
Increased follower engagement by 40% through effective social media strategies. Led a team of 10 members, improving efficiency by 30% with delegation and time management skills.