Tech Stack: Tensorflow, TFX, AWS SageMaker, Apache Airflow, Kubeflow, and AWS

Expert’s cases:

1. Working on creating complex and scalable end to end machine learning solutions/pipelines for large corporations, using the following stack: Tensorflow, TFX, AWS SageMaker, Apache Airflow, Kubeflow, and AWS

2. Development and implementation of advanced machine learning algorithms and statistical models. Work revolved around processing vast quantities of image and sensor data, architecting and training intricate neural networks, and fine-tuning models to achieve exceptional accuracy and resilience for autonomous agricultural vehicles

3. Creating and deploying custom deep convolutional neural network architectures to classify various medical images.The results are then compared to the results produced by deep neural networks that use transfer learning. Goal is to create deep neural networks that outperform some of the most widely accepted networks such as VGG networks, and ResNets