MAJID Zarharan

URL: https://dadmatech.ir/ Dadmatech is an artificial intelligence company, specializing in Natural Language Processing, Data mining, Machine learning, Knowledge, and Information Extraction. Dadmatech conducts different projects for various organizations in public and private sectors. • Completed 5 web-based annotation tools and APIs by using Django, FastAPI, and MySql • Deployed 4 machine learning models by using FastAPI, Django REST API, Docker, and git • Expanded the existed Persian fake news detection by 18K instances • Pioneered the first Persian fake news detection model using stance detection and transformers • Formed the first Persian robot user detection dataset • Devised the first Persian robot user detection system on Twitter and Instagram by Pytorch and machine learning algorithms • Improved the accuracy of machine learning models by 10% • Built the first chit-chat dataset by using Persian subtitles in OpenSubtitle • Established the first Persian chit-chat model by Pytorch • Led a team consisting of 5 AI and software engineers and 15 annotators Learning: Pytorch, Gunicorn, Nginx, Docker, FastAPI, Pydantic, AWS, (ML) system design Tech stack: Python | Tensorflow (Keras) | Pytorch | Django | MySQL | Gunicorn | Nginx | Scikit-Learn | Matplotlib | Pandas | Numpy | Seaborn | NLTK | FastText | ParsBERT | Word2vec | Docker | FastAPI | Pydantic | Hugging Face

URL: https://en.bmn.ir Iran's National Elites Foundation (INEF) is an Iranian governmental organization. The main purpose of the foundation is to recognize, organize and support Iran's elite national talents. Members of the foundation include all who show exceptionally high intellectual capacity, academic aptitude, and creative ability, especially contributors in the promotion of science and highly cited scientists and researchers. • Upgraded the performance of stance detection machine learning algorithms with grid search by 5% • Publicized the first Persian fact-checking dataset • Engineered the first Persian fact-checking model • Outperformed the first Persian stance detection deep learning model's F1 score by 12% with the help of state-of-the-art transformers • Authored the first paper for Persian fact-checking which is called ParsFEVER in *SEM 2021 Learning: Transformers (Hugging Face), Django, Seaborn, Pytest Tech stack: Python | Tensorflow (Keras) | Transformers | Django | MySQL | Scikit-Learn | Matplotlib | Pandas | Numpy | NLTK | Gensim | Word2vec | FastText | BERT | ParsBERT | Pytest | Hugging Face

URL: http://www.pajuheshco.com/?lang=en Pajuhesh, currently ranked the first level by the Supreme Informatics Council and one of the top companies in the field of IT and communication technology, operates in the design, implementation, and operation of the comprehensive informatics system for the ministry of education in Iran. • Discovered educational data mining by using machine learning methods and employing Scikit-Learn • Produced the first Persian educational data mining on the information of whole Iranian students by ML • Forecasted the critical levels of dropping out of school, being expelled from school, and GPA • Boosted the HR office automation system features by 15 and cut down paperwork by 40% Learning: RabbitMQ, Angularjs, Scikit-Learn, Pandas, Seaborn, Onion & Microservices architectures Tech stack: Python | Scikit-Learn | Matplotlib | Pandas | Numpy | Seaborn | C# | SQL Server | Asp.net MVC | Entity Framework | RabbitMQ | Jquery | Angularjs | Bootstrap | Git | CSS | Html

URL: https://ican.ir/english The main activity of the company is developing different online office automation systems for different organizations in public and private sectors like Sepahan Mobarakeh Steel Company, IR-MCI, and Several Ministries in Iran. • Added features and applications to an online HR office automation system which is called Farzin with ASP.Net and SQL Server • Constructed tables, relations, indexes, and views in the database by using SQL Server • Manipulated stored procedures to write different reports in SQL • Brought into play CrystalReport and FastReport for report creation • Concluded a rule-based recommender system for the online HR office automation system • Generated a real-time chat application for the online HR office automation system by using SignalR Learning: SignalR, TFS, FastReport Tech stack: Ado.net | C# | SQL Server | Asp.net | JQuery | Javascript | Bootstrap | jQuery UI | SignalR | TFS | Css | Html

The main activity of the company is developing websites, online applications, windows applications, and bulk SMS services for different organizations in the public and private sectors by implementing web services based on GSM Network. • Undertook web and Windows applications development using C# and C#.Net • Benefited SQL Server to design relational databases • Utilized stored procedures in SQL to generate different reports • Exploited FastReport to make reports • Launched various web and Windows applications • Released different web services for bulk SMS Learning: Asp.net MVC, Entity Framework, My SQL, Umbraco, Facebook API, Google API, Unit Test, Integration Test, Design Patterns, MVP, Jira, Scrum, JQuery, CSS, Ajax Tech stack: Ado.net | C# | SQL Server | Asp.net | MVC | Windows Application | JQuery | Javascript | Entity Framework | Bootstrap | Umbraco (asp.net cms) | FastReport | jQuery UI | My SQL | Facebook API | Google API | Unit test | Integration test | Design Patterns | MVP | Jira | Scrum | CSS | Html