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Click here or scroll down to respond to this candidateCandidate's Name
Phone: PHONE NUMBER AVAILABLE Email: EMAIL AVAILABLELinkedIn: Candidate's Name -288401222 GitHub: omidrajabi6868 Professional Summary:Passionate Machine Learning Engineer with over 7 years of experience in applying advanced models to solve real-world problems across various domains. Currently pursuing a Ph.D. in Computer Engineering, focusing on object detection, NLP, and document enhancement. Proficient in Python, Java, and C#, with a strong background in both academic research and industry applications. Seeking to leverage my expertise in developing scalable ML solutions to contribute to innovative projects. EducationOld Dominion UniversityDoctorate in Computer EngineeringNorfolk, VA, USA August 2021 - PresentUniversity of HormozganMaster's in Artificial IntelligenceBandar Abbas, Hormozgan, Iran August 2017 - August 2019 Payam Noor UniversityBachelor's in Software EngineeringEsfahan, Isfahan, Iran August 2009 - August 2014 Professional ExperienceResearch AssistantODU Research Foundation Norfolk, VA, USA August 2021 - Present Conducting research on image segmentation, adversarial attacks on deep learning models, and document enhancement. Developed and applied innovative solutions to complex problems in the field of machine learning. Application Developer (Internship)City of Norfolk Norfolk, VA, USA June 2023 - September 2023 Worked on GIS applications, including ArcGIS Pro and ArcGIS Online. Focused on flood prediction using geospatial data for the final project. Executive Leader (Internship)City of Norfolk Norfolk, VA, USA June 2022 - September 2022 Organized, refined, and analyzed geospatial data by developing an application in python. Teacher AssistantUniversity of Hormozgan Bandar Abbas, Hormozgan, Iran August 2017 - August 2020 Assisted professors in teaching Python programming, machine learning, neural networks, and computational intelligence. Full-Stack Web DeveloperNegin Tejarat Esfahan, Isfahan, Iran January 2014 - January 2017 Created RESTful APIs and developed UIs using JavaScript, AngularJS, HTML, and CSS. Enhanced application functionality based on customer requirements. AchievementsPublished Research: Authored 2+ research papers in reputed journals and conferences on topics such as adversarial attacks on object detection and instance segmentation.Innovative Projects: Developed a document enhancement model that improved the quality of document images for a major navy company.Teaching Excellence: Recognized as a top teaching assistant for outstanding support in machine learning and AI courses. Developing a course named computational intelligence at Hormozgan University. ProjectsRemote Sensing Adversarial AttacksODU Research Project September 2023 - Present Developing an innovate model to question deep networks vulnerability against adversarial examples in Remote sensing applications.Flood Prediction using Geospatial DataCity of Norfolk Internship Project June 2023 - September 2023 Applied data science and machine learning techniques to predict flood levels. Integrated ArcGIS Pro and ArcGIS Online for data visualization and analysis. Document Enhancement ModelODU Research Project August 2021 - August 2023 Developed a deep learning model to reduce noise in pdf documents. The developed application has been applied and used by a navy company. License Plate Detection and RecognitionUniversity of Hormozgan June 2018 - August 2019 Applied deep learning model (YOLO) to detect and recognize Persian words on vehicles license plate. The developed application has been applied and used by the University of Hormozgan. Skills Deep Learning Models: CNN, RNN, LSTM, Transformer, GAN Machine Learning Models: SVM, MLP, Decision Tree, PCA Programming Languages: Python, Java, C#, MATLAB UI Development: JavaScript, HTML, CSS, AngularJS Database Management: SQL Server, MySQL, Oracle |
