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/Packages | Operating systems/other | ||
Classic ML algorithms | Python, C, C++, STL | MacOS/Linux/Windows | ||
CNN, RNN, LSTM, CUDA | Multithread, JS | Relational DB, SQL, PL/SQL | ||
Pytorch, Tensorflow, Keras | VS 2022, VS Code | Git, Docker, RSET API | ||
Reinforcement Learning | OpenCV, Qt, QtPy | Algorithme analysais | ||
BERT, NLTK, SpaCy | MATLAB, Camera ISP | Leadership, 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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field service technician
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Found in: beBee S2 CA - 1 month ago
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Found in: Talent CA C2 - 5 days ago
Canada Post Waterloo, CanadaNuméro de la demande d'emploi : · Fonction administrative : Vente au détail · Ville principale : Waterloo · Emplacement(s) supplémentaire(s) : · Province : Québec · Type d'emploi : Employé de relève sur appel · Statut d'emploi : Temporaire · Exigences linguistiques : Bilin ...