Robert-Andrei Găsitu

I work in Axway, where I am responsible for TSIM (Trade and Supply Chain Integration) monitoring. I have completed training in Cloud Platform Integration and have gained experience working with various technologies, including Groovy, XSLT, SAP, XML, JSON, SuccessFactors, SalesForce, and Integration Suite. This knowledge allows me to manage and optimize data and application integration processes, ensuring efficient and continuous operation of the systems used.

• This project is a collaboration with Endava, and is being developed using Agile & Scrum methodology
• The technologies being used are Java, Angular, Docker, and Git
• The goal of the application is to create a user-friendly tool that facilitates certain functionalities related to market stocks
• The project involves a team of 5 colleagues.

FragranceFinder is an application developed using Angular for the front end, with a backend powered by Java Spring with Hibernate, and Python. The purpose of the application is to assist individuals in selecting the right fragrance. It features matching algorithms for recommendations, utilizing cosine similarity techniques to provide accurate suggestions.

This is a team project where YOLOV8 was used to train a neural network capable of recognizing geometric shapes displayed through a laptop camera. The application leverages advanced machine learning techniques to accurately detect and identify various shapes in real-time.