I specialize in computer vision and predictive analytics for IoT applications, offering real-time image and video analysis, predictive maintenance, anomaly detection, and end-to-end IoT solutions with cloud integration.
By combining the power of machine learning with connected devices, I create intelligent systems that can learn, adapt, and provide valuable insights from your data.
Image classification, object detection, and real-time video analysis for various applications.
Data-driven forecasting and modeling to anticipate trends and behaviors in your systems.
Identifying unusual patterns and outliers in data to detect potential issues before they occur.
End-to-end design of IoT systems, from edge devices to cloud infrastructure.
Connecting your IoT devices to cloud platforms for data storage, analysis, and visualization.
Deploying machine learning models directly on IoT devices for real-time processing without cloud dependency.
TensorFlow
PyTorch
AWS IoT
Azure IoT
OpenCV
Scikit-learn
MQTT
TensorFlow Lite
Predictive maintenance solution using machine learning and IoT sensors to anticipate equipment failures.
Automated visual inspection system that detects product defects in real-time using deep learning.