This is

Amir Ezzati

Currently I'm a Master's student of Computer Engineering with a focus on Artificial Intelligence and Bioinformatics, and Research Assistant at Sharif University of Technology.

I am particularly interested in the application of AI in medicine and have a profound passion for contributing innovative solutions that blend cutting-edge technology with the intricacies of medical data.

My academic journey is characterized by a robust foundation in computer science, mathematics, and algorithms, complemented by extensive expertise in machine learning. I have experience in a wide range of domains, including Bayesian modeling, predictive modeling, computer vision, biomedical image analysis, meta-learning, natural language processing, and data mining.

I find joy in working on challenging projects that demand creativity, collaboration, and a commitment to continuous learning. I am driven by a curiosity to explore new horizons within the ever-evolving landscape of artificial intelligence.

Experience

Research Assistant

Teaching Assistant

Education

Skills

Awards & Certifications

• Machine Learning specialization

  Organization: DeepLearning.AI Instructor: Andrew Ng

  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning
• Deep Learning specialization

  Organization: DeepLearning.AI Instructor: Andrew Ng

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Reinforcement Learning specialization

  Organization: University of Alberta Instructor: Martha White & Adam White

  • Fundamentals of Reinforcement Learning
  • Sample-based Learning Methods