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Evidence Slot 2 -- Academic Foundation & Early Network Automation (MC)

Criteria: Mandatory Criterion (MC)\ Scope: Academic excellence and early innovation in network automation

1. Academic Foundation

I completed a Bachelor of Science in Computer Science with First Class Honours.

My degree included strong performance across core areas such as:

  • Operating Systems and Networks\
  • Databases and Distributed Systems\
  • Software Engineering and Algorithms

[IMG-01 -- Cropped transcript or degree certificate showing First Class award]

This established a solid theoretical foundation in distributed systems, networking and software engineering --- disciplines that underpin my current hybrid platform work.

Alongside my degree, I continued structured professional development through Azure (AZ-104 preparation), Cisco-aligned networking training, IBM cybersecurity courses, and membership of the British Computer Society (BCS). These activities demonstrate sustained engagement with professional standards beyond formal education.

2. Departmental Recognition

During my degree, I received a departmental award for outstanding engagement.

[IMG-02 -- Award certificate or official confirmation]

The award recognised consistent academic engagement, contribution to the departmental learning environment, and initiative beyond minimum course requirements. It reflects early evidence of leadership potential, not only academic performance.

3. Final-Year Project -- Network Automation & Abstraction

My final-year project focused on network automation and abstraction.

The project:

  • Implemented an abstraction layer for network configuration\
  • Automated provisioning and updates of network devices\
  • Applied software engineering principles to networking workflows

It was ranked within the top 15 out of 120 projects in the cohort.

[IMG-03 -- Repository screenshot or architecture diagram excerpt]

This project marked my first structured attempt to treat networking as programmable infrastructure rather than manual configuration. It introduced the themes of abstraction, repeatability and automation that now underpin my platform engineering approach.

4. Continuity into HybridOps

The architectural principles explored in my final-year project evolved directly into HybridOps.

University Project

  • Lab-scale network automation\
  • Single environment\
  • Scripted provisioning workflows

HybridOps

  • Hybrid on-prem and cloud architecture\
  • Infrastructure-as-Code using Terraform\
  • Automated network provisioning integrated with a source of truth\
  • Disaster recovery and cost-aware workflows\
  • Evidence-driven execution model

[IMG-04 -- Side-by-side simplified architecture comparison]

This progression demonstrates a clear trajectory from academic innovation to production-oriented hybrid platform engineering. It establishes the technical foundation for the broader work described in my other evidence slots.