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Reza Godaz

Reza Godaz

Machine Learning Engineer/ C++ Developer

Technology / Internet

Waterloo, Ontario

Social

About Reza Godaz:

  • Over 7 years of experience in Machine Learning and Deep Learning (Classic ML Algorithms, Deep Autoencoders, Deep Adversarial Networks, Reinforcement Learning, and Transformers).
  • Skilled in different Python Machine Learning and Deep Learning libraries (Tensorflow, Pytorch, CUDA, TensorRT, sklearn, pandas, etc.), DL Tools (Tensorboard, etc), MATLAB, and C++.
  • Experience in natural language processing (NLP) and sentiment Analysis, using famous Deep Learning algorithms, Transformers, and packages such as BERT, Word2Vec, NLTK, and GloVe.
  • Experience in Deep Image Analysis using CNN Deep Neural Networks, and related algorithms and Design and development of a Camera/Image Signal Processing Pipeline for Toupcam cameras. 
  • Strong mathematical background in Numerical Linear Algebra, Riemannian Optimization Methods, Mappings, Differential Geometry, and Topology.
  • Over 10 years of experience as Senior Software Engineer, and team lead including C, C++ and STL, multithreading and IPC, SQL programming, and algorithm development methods including data structures and algorithms (string processing, recursion, time complexity, graph/tree algorithms, etc.), Some of the Design patterns, JavaScript (last C++ 17 ISO standard assessment score: 85 out of 100).
  • Experience in Requirement Analysis, Software Architecture, SDLC Methodologies, and distributed resource management tools, Docker, REST API, Amazon SQS and SNS, Git.
  • Experience in both Linux and Windows (scripting and programming).

Experience

ML/DNN/NLP Languages/PackagesOperating systems/other 
Classic ML algorithms Python, C, C++, STLMacOS/Linux/Windows  
CNN, RNN, LSTM, CUDAMultithread, JSRelational DB, SQL, PL/SQL  
Pytorch, Tensorflow, Keras VS 2022, VS CodeGit, Docker, RSET API  
Reinforcement Learning OpenCV, Qt, QtPyAlgorithme analysais  
BERT, NLTK, SpaCy MATLAB, Camera ISPLeadership, SDLC, Requirement Analysis  

Education

  • Ph.D. of Artificial Intelligence Ferdowsi University of Mashhad, Iran (Oct 2021).
  • Ph.D. Thesis: “Geometric Similarity Learning”.
  • BSc and MSc: Software Engineering, Islamic Azad University of Najafabad, Iran.
  • MS Thesis: “Reasoning a Domain-Specific Knowledge in the Semantic Web: Utilizing Fuzzy Concepts”.

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