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).

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

• 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”.