Francis Kelly
Cloud Computing Undergraduate
I’m a fourth-year Cloud Computing student with a strong background in Networking Technologies. I enjoy learning emerging technologies and building solutions that prepare me for a future career in cloud and IT infrastructure.
About Me
I’m a developer with a strong foundation in networking technologies, cloud computing, and web development. I enjoy building reliable, user-focused solutions that connect software, infrastructure, and real-world workflows.
Web Design & Frontend Development
Skilled in building clean, responsive interfaces using HTML, CSS, and JavaScript. Focused on simplicity, usability, and smooth user experiences across devices.
Networking & Infrastructure
Strong knowledge of TCP/IP, VLANs, routing, firewalls, and server configuration. Hands-on experience with Linux administration and secure remote environments.
GitHub & Collaborative Development
Skilled in Git workflows, version control, branching strategies, pull requests, and maintaining well-organised repositories for team collaboration.
Education
Duration: September 2025 – August 2026
Status: In Progress
Studying advanced cloud engineering concepts including virtualisation, containerisation, DevOps practices, and scalable cloud architectures across AWS and Azure.
Duration: September 2022 – August 2025
Result: Distinction
Achieved a distinction-grade bachelor’s degree with strong competencies in network maintenance, troubleshooting, Linux systems, automation, and advanced networking concepts.
Duration: September 2021 – August 2022
Result: Distinction
Completed a QQI Level 5 Certificate in Software Development with distinction, demonstrating proficiency in object-oriented programming, network fundamentals, and hands-on troubleshooting of software and network issues.
Projects
Monitoring, Autoscaling & Observability System
A full monitoring and autoscaling system built using Prometheus, Grafana, Docker/Kubernetes, Cloudflare, and CrowdSec. The platform collects host, container, application, and security metrics into a unified observability dashboard.
- Alert-driven autoscaling using Prometheus and custom metric rules
- Kubernetes Horizontal Pod Autoscaler (HPA) scaling services under load
- Structured load testing with stress-ng and Locust
- Dashboards visualising performance, latency, and threat activity
- Integrated security telemetry from CrowdSec and Cloudflare
Wi-Fi Site Survey & Real-Time Heatmap
A full wireless-analysis system using ESP32 IoT nodes to collect Wi-Fi RSSI values and generate a real-time heatmap using Python, NumPy, SciPy, and Matplotlib. The project automates wireless surveying and visualises coverage dynamically, improving accuracy and reducing survey time compared to traditional methods.
- 4× ESP32-C3 survey nodes measuring RSSI simultaneously
- ESP-WROOM-32 controller aggregating and forwarding readings
- Python program generating a real-time heatmap overlay on a floor plan
- Automated hotspot identification for AP placement optimisation
Work Experience
Crew International — Junior Automation & Backend Developer
Remote • Mar 2025 – Sep 2025
- Automation workflows using n8n + Make.com
- REST APIs using Node.js + PostgreSQL
- Managed Debian VPS, DNS, firewall, SIP security