Computer Vision & Machine Learning

  • Deep Learning: Convolutional Neural Networks, Adversarial Networks, Recurrent Neural Networks, Autoencoders
  • Gaussian Process, Bayesian Computation
  • Computer Vision: Optimization algorithms, Object Detection and Tracking, Feature Extraction
  • Natural Language Processing

ML Frameworks

  • Tensorflow
  • Caffe
  • Keras
  • Scikit Learn
  • XG Boost

Medical Imaging

  • Pre-processing
  • 3D Image Segmentation and Registration
  • Diffusion Weighted Imaging Analysis
  • White Matter Tractography

Big Data Processing Frameworks

  • Kafka
  • Spark
  • NiFi
  • Neo4J

Programming

  • Python (Very Good)
  • Java
  • CUDA Programming (Beginner)
  • C++ (Beginner)