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.
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.
Professional Certifications
Certifications and technologies used in enterprise environments, cloud infrastructure, CI/CD automation, and production engineering.
HashiCorp Certified: Terraform Associate
Linux Essentials Certification
Microsoft Certified: Azure Fundamentals
Certified Scrum Developer (CSD)
AWS Certified Cloud Practitioner
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 ProjectCloud-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.
Noise Monitoring System
IoT ProjectEmbedded 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.
RFID Inventory Service
IoT ProjectWeb-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.
6DOF Tracking System
AI/ML ProjectMachine 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.
Vending System Simulation
Software Engineering ProjectC++-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.
CookBookIdeas
Software Engineering ProjectThis 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.
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
Let’s connect
GitHub, LinkedIn, and a downloadable CV will be linked here.