About
I’m a DevOps Engineering student focused on Linux, Docker, Kubernetes, Git, CI/CD, scripting, databases, and cloud technologies. I have hands-on experience building and containerizing applications, automating workflows, working with deployment pipelines, and developing small systems using Python and Java.
Through my projects, I’ve developed practical experience across application deployment, infrastructure workflows, automation, networking, and backend development. These projects have helped me connect what I learn with real implementation and improve my understanding of reliable systems.
I also bring experience from structured, high-responsibility environments where accuracy, safety, and clear processes are essential. This has strengthened my teamwork, communication, and ability to work effectively under pressure.
I’m passionate about building reliable systems, improving automation, and continuously developing my skills in cloud and DevOps technologies.
Experience
2023 - PRESENT
DevOps Engineer Projects · Personal Projects & Training
- Built and deployed a demo radiology worklist application using Docker Compose and Kubernetes on a multi-node VPS cluster
- Built a Jenkins CI/CD pipeline on AWS EC2 with GitHub triggers, automated Maven testing, SonarQube quality checks, and Nexus artifact publishing
- Built and containerized web applications using Docker and Docker Compose
- Implemented CI/CD pipelines with GitHub Actions for automated testing and deployment
- Designed and configured a full enterprise network in Cisco Packet Tracer and CML, including OSPF routing, HSRP, IPsec VPN, VLAN segmentation, and wireless infrastructure
- Built and documented a Microsoft 365 tenant administration lab covering identity, Teams, SharePoint, Exchange Online, access control, security review, onboarding, offboarding, and incident response workflows
- Built a Node.js application integrating the OpenAI API with streaming responses and conversation memory
- Developed Flask-based applications integrating PostgreSQL and external APIs
- Designed and built a Java desktop application for structured log analysis and visualization
- Implemented data filtering, chart-based visualization, and reporting features across projects
- Automated deployment workflows to a VPS environment using secure SSH-based pipelines
Docker
CI/CD
GitHub Actions
Python
Flask
PostgreSQL
Java
API
2022 - 2025
Radiography Department Assistant · Hospitals in Sweden
- Worked in clinical environments with high focus on safety and accuracy
- Collaborated with medical teams in fast-paced settings
- Strengthened communication, responsibility, and structured workflows
- Gained experience in handling critical systems and processes
Teamwork
Communication
Structured Work
Safety-Critical Environment
Projects
Radiology ScanFlow
A full-stack DevOps project for a demo radiology worklist application, built with React, Node.js, Express, and MongoDB. The application was first containerized with Docker Compose and then deployed to a real Kubernetes cluster across three VPS instances, including persistent storage, NodePort access, pod self-healing, node drain testing, and cluster visualization with Lens.
- Built a React frontend for viewing, adding, and deleting demo imaging cases
- Built a Node.js and Express backend API connected to MongoDB
- Containerized the frontend, backend, and database with Docker Compose
- Wrote Kubernetes manifests for the frontend, backend, MongoDB, services, and persistent storage
- Deployed the application to a three-node Kubernetes cluster on VPS infrastructure
- Demonstrated Kubernetes self-healing by deleting pods and observing automatic replacement
- Simulated node failure with node drain and verified pod rescheduling
- Used Lens to visually inspect pods, services, logs, and deployments across the cluster
Docker
Docker Compose
Kubernetes
React
Node.js
MongoDB
Self-Healing
Lens
Jenkins CI/CD Pipeline on AWS
A Jenkins-driven CI pipeline for a Maven Java application, with GitHub triggers, automated tests, SonarQube quality gates, and Nexus artifact publishing on separate AWS EC2 hosts.
- Built a Jenkins pipeline triggered from GitHub changes
- Compiled and tested a Maven Java application automatically
- Integrated SonarQube for code quality checks and quality gate validation
- Published build artifacts to Nexus Repository
- Used separate AWS EC2 instances for Jenkins, SonarQube, and Nexus
- Demonstrated a full CI workflow from code push to artifact storage
Jenkins
AWS EC2
GitHub
Maven
Java
SonarQube
Nexus
CI/CD
AI Conversation Engine (OpenAI API in Node.js)
A Node.js application demonstrating practical integration with the OpenAI Responses API - covering authenticated requests, parameter tuning, conversation memory, and real-time streaming.
- Built an authenticated client for the OpenAI Responses API
- Sent requests and parsed responses, including token usage and metadata
- Tuned output behavior using temperature and max_output_tokens
- Maintained conversation context across multiple calls using response IDs
- Implemented real-time streaming of model output, token by token
- Secured API credentials using environment variables, excluded from version control
Node.js
OpenAI API
JavaScript
REST API
dotenv
Streaming
LLM
MedSyn Lab - Enterprise Network Design
A complete enterprise network designed and implemented in Cisco Packet Tracer and Cisco Modeling Labs, covering routing, switching, security, VPN, and high availability for a fictional medical company with HQ and branch sites.
- Designed a dual-ISP, dual-firewall HQ architecture with full redundancy
- Configured OSPF routing and HSRP gateway redundancy across all VLANs at both sites
- Implemented IPsec site-to-site VPN between HQ and branch office
- Set up VLAN segmentation with 802.1Q trunking across 9 departments
- Deployed WLC-managed wireless network with CAPWAP lightweight APs
- Verified full connectivity - all tests passed across HQ, branch, DMZ, and VPN
Cisco
Packet Tracer
CML
OSPF
VLAN
IPsec
HSRP
Networking