Alexandra Baga
DevOps • Cloud • Backend development • Infrastructure as Code

Cloud & DevOps engineer. Building and maintaining production systems on AWS with Terraform.

I build and improve AWS infrastructure, CI/CD workflows, Terraform-based environments, and backend integrations with a strong focus on maintainability and production reliability.

About

Engineer-first portfolio

I work at the intersection of cloud infrastructure, automation, backend engineering, and operational reliability. I enjoy turning unclear deployment and platform problems into structured, understandable systems.

Certifications

Professional Certifications

Certifications and technologies used in enterprise environments, cloud infrastructure, CI/CD automation, and production engineering.

AWS Certified Solutions Architect - Associate

Amazon Web Services
Experience designing and supporting AWS-based infrastructure, ECS services, CI/CD workflows, IAM configurations, and production cloud environments.

HashiCorp Certified: Terraform Associate

HashiCorp
Practical experience building reusable Terraform modules, infrastructure automation, environment provisioning, and infrastructure lifecycle management.

Linux Essentials Certification

Linux Professional Institute
Hands-on Linux administration and shell experience used in CI/CD pipelines, debugging, automation, and containerized environments.

Microsoft Certified: Azure Fundamentals

Microsoft
Understanding of Azure cloud services, DevOps concepts, networking, identity management, and cloud architecture fundamentals.

Certified Scrum Developer (CSD)

Scrum Alliance
Understanding of Azure cloud services, DevOps concepts, networking, identity management, and cloud architecture fundamentals.

AWS Certified Cloud Practitioner

Amazon Web Services
Understanding of AWS Cloud services, networking, identity management, and cloud architecture fundamentals.
Projects

Selected Projects

A selected set of public projects across cloud-native engineering, embedded systems, backend development, and applied software architecture.

Event Hub Platform

Cloud-Native Project

Cloud-native event discovery platform aggregating local activities into a unified data model. Built with Rust and Angular, the system focuses on data processing, API design, and containerized deployment using AWS, Docker, and Kubernetes.

RustAngularKubernetesAWSDocker

Noise Monitoring System

IoT Project

Embedded IoT system for real-time environmental noise monitoring using ESP32. Streams sensor data to the cloud for analysis, combining low-level hardware integration with backend processing and connectivity.

C++ESP32Real-timeEmbeddedIoT

RFID Inventory Service

IoT Project

Web-based system for contactless device tracking using RFID and MIFARE. Designed for managing physical inventory with a backend service and simple user interface for check-in and check-out workflows.

PythonRest APIJavaScriptFull-stack

6DOF Tracking System

AI/ML Project

Machine learning–based system for predicting user motion in virtual reality environments. Developed in collaboration with the Fraunhofer Institute as part of an applied research project. Focuses on optimizing volumetric video streaming over 5G networks. Combines Python and ML techniques.

PythonMachine LearningVRPyTorch

Vending System Simulation

Software Engineering Project

C++-based simulation of a coffee vending machine with a graphical interface built in Qt. Models real-time system behavior including user interaction, payment flow, and dispensing logic. Includes unit, integration, and system-level testing for core components. Originally developed as a team project and finalized individually.

C++QtGUIPyTorchTesting

CookBookIdeas

Software Engineering Project

This project is a web application designed to manage and display recipes, with the backend handling data storage and retrieval and the frontend providing a user interface for creating and viewing recipe data. The backend is built using FastAPI, a modern web framework for building APIs with Python, while the frontend is developed using Angular.

FastAPIAngularPythonFullstack
Skills

Core stack

Cloud

AWS, networking, IAM, ECS, monitoring, infrastructure design

IaC

Terraform, modular infrastructure, environment management

CI/CD

GitHub Actions, deployment workflows, release automation

Backend

Python, REST APIs, testing, integration engineering

Contact

Let’s connect

GitHub, LinkedIn, and a downloadable CV will be linked here.