About

Bridging engineering decisions and business goals.

I’m a Cloud Engineering student focused on building scalable infrastructure that drives business efficiency. I translate goals such as faster delivery, stronger continuity, lower operational risk and responsible resource use into practical AWS, automation, security and networking decisions.

I have an obsessive curiosity problem — in the best way. When an itch for a problem needs scratching, I do not look for shortcuts. I go from the ground up, whatever it takes, until I genuinely understand the thing. That is how I taught myself Terraform, how I rebuilt a multi-AZ AWS migration, and how I ended up reading AWS release notes for fun.

Away from the screen I am just as hands-on: wrestling and grappling martial arts, following every Formula 1 race weekend, and genuinely enjoying meeting, speaking and socialising with people. I am high-energy and outgoing — but I back it up with a relentless technical drive. I will talk your ear off about cloud security, then spend the next six hours quietly fixing the IAM policy until it is bulletproof.

Certifications

05 earned

AWS

AWS Solutions Architect — Associate (SAA-C03)In progress

Amazon Web Services

Skills

Cloud & Infrastructure

AWS (S3, EC2, VPC, Lambda, RDS)
Multi-AZ architectures
Networking
Terraform
Docker

Security & Identity

IAM
Cognito
Active Directory
Security Groups / NACLs
ISO 27001

Data & ML

Python
Pandas
Scikit-Learn
NoSQL (DynamoDB)
Data analysis & visualisation

Delivery & APIs

RESTful API design
Git
Agile / Scrum
CI/CD
GitHub Actions

Networking

Cisco Networking
VLANs
ACLs
DMZ
NAT
Packet Tracer

Background

2023 — 2027
BSc Cloud Engineering
Final-year undergraduate with modules in cloud computing, distributed systems, networks, security and machine learning.
2025 — present
AWS Cloud Quest & hands-on labs
Completed Cloud Practitioner and Generative AI Practitioner badges through scenario-based AWS projects.
2024 — present
Self-directed cloud projects
Built multi-AZ AWS migrations, serverless apps, enterprise networks and ML pipelines, documented on GitHub.