Open to projects and collaborations

Bioinformatics platform for the early diagnosis of colorectal and bronchopulmonary cancer - Acronym PROMED- analyzing and understanding basic media notions necessary for understanding the specifics of the problem and existing online solutions- studying, identifying, and testing existing solutions in the field of cancer detection- building artificial intelligence models capable of identifying cancer- use of Torch Serve to expose networks to the client mode

Project name: Optimization of fish and plant biomass growth technologies in multi-trophic intensive aquaculture systems by using intelligent visual recognition and IoT / MultiAquaIot techniques - Faculty of Food Science and Engineering (SIA), UGAL, Galați, Romania• Project code: 2020-2022 - PN-III-P2-2.1-PTE-2019-0697• Problem analysis and identification of possible architectural solutions (hardware and software)• Hardware system design• Collecting data (images) and… Show more Project name: Optimization of fish and plant biomass growth technologies in multi-trophic intensive aquaculture systems by using intelligent visual recognition and IoT / MultiAquaIot techniques - Faculty of Food Science and Engineering (SIA), UGAL, Galați, Romania• Project code: 2020-2022 - PN-III-P2-2.1-PTE-2019-0697• Problem analysis and identification of possible architectural solutions (hardware and software)• Hardware system design• Collecting data (images) and annotating them• Studying, identifying, and testing different artificial intelligence algorithms• Design and implementation of data collection application software, a web application for viewing information and reports, neural network rule scripts Show less

Backend developer• Project name: Renault IDM4.0 (Full Track and Trace)• Analysis of tasks through discussions with the beneficiary• Development of APIs in Scala and Java, using hexagonal architecture• Analysis of data from the database and reporting of possible errors• Teamwork with the senior and the Frontend team to solve tasks• Participation in Scrum type meetings• Languages: Scala, Java• Framework: Akka, Spring• Technologies: IntelliJ IDEA, Google Big… Show more Backend developer• Project name: Renault IDM4.0 (Full Track and Trace)• Analysis of tasks through discussions with the beneficiary• Development of APIs in Scala and Java, using hexagonal architecture• Analysis of data from the database and reporting of possible errors• Teamwork with the senior and the Frontend team to solve tasks• Participation in Scrum type meetings• Languages: Scala, Java• Framework: Akka, Spring• Technologies: IntelliJ IDEA, Google Big Query, Google Pub / Sub, Google Bucket, JPA, GitLab• Concept: Hexagonal architecture, DTO, DDDAI research• Project name: FutureWeb• Use of neural networks to identify objects in images and analyze feelings (using image classification)• Identification and study of scientific articles• Identification and study of specific deep learning algorithms and analysis of their performance• Identification and study of neural network architectures and compare the performance• Use of deep learning techniques to identify, analyze, train and test different types of neural networks• Identification, analysis, and building datasets.• Construction of containers for neural networks• Languages: Python, Matlab• Bookstores: TensorFlow, Keras• Technologies: docker Show less

• Analysis and design of a custom programming web application• Analysis and design of a tourist guide application for the Macin Mountains area (available on Google Play at https://play.google.com/store/apps/details?id=parc.macin.meniu)• Teamwork for analysis and solving tasks• Languages: Android (Java), PHP, HTML, CSS, JavaScript• Instrument: Android Studio, Visual Studio Code

• Mobile application development for Android• Testing applications preinstalled on your phone• Language: Android (Java)• Frame: UI Automator• Tool: Android Studio, UI Automator Viewer

• Challenge theme: Reading human emotions• Testing artificial intelligence algorithms to determine people's emotions using audio recordings• Comparison of performances and their presentation in competitions (Demonstration Day, Student Session)• Teamwork to solve the challenge• Language: Python• Libraries: TensorFlow, Keras