Nika Beridze

The system was developed to plan and manage public transportation. Users can create routes, assign buses to routes, create schedules for buses, register drivers in the system, assign drivers to buses, and plan driver working times.

There is a module for the live monitoring of public transportation. Users can see bus locations, planned and already finished trips, send notifications to drivers, release buses from routes or add new buses. I served as the senior full-stack developer and delivered two main system modules: The planning and live processing modules.

Genomics is an application implemented for cancer centers based in the USA. The application allows doctors to input their patient's data, send it to different laboratories, analyze laboratory results, and generate different types of reports.

The project aimed to port and deploy already implemented healthcare software in the Kubernetes environment. We Dockerized already implemented Spring microservices, changed their configurations, implemented Kubernetes deployment descriptors, and deployed in AWS EKS.

The system allows financial institutions to perform money transfer operations using a single window. There are more than ten money transfer systems integrated with UMTS, such as (WesternUnion, Unistream, and MoneyGram). UMTS communicates with the money transfer system using different protocols (web services, file transfers, binary protocols, etc.). UMTS is integrated into a bank's core systems and performs deposit and withdrawal transactions. Web services are implemented to integrate with external systems, such as Internet banking and ATMs. UMTS is deployed in Georgian banks (TBC, FINCA, VTB Georgia) and many micro-financial institutions. I was the senior full-stack developer on the project and participated in every module implementation.

Vitality Group's core system is designed to manage and optimize wellness programs for corporate clients, offering personalized health solutions and tracking user engagement. The project involved a complete overhaul of the legacy system to improve scalability, reliability, and performance, enabling the platform to better support a growing user base and handle increasing data demands.

To achieve this, the system was re-architected into a microservice-based design using Spring Boot, with Kafka for event-driven communication. This allowed for more efficient handling of real-time data and improved system modularity. The system was deployed in a Kubernetes (K8s) environment, enabling automated scaling and high availability to meet fluctuating demand.

Collaboration across back-end, front-end, and mobile teams was essential to ensure smooth client-server integration, while back-end and DevOps teams focused on continuous development and delivery. The result was a more robust platform that could scale efficiently, deliver quicker deployments, and enhance overall system reliability.