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KalyTrex
KalyTrex member

Muthu Ruban Thilagar

United Kingdom

I build secure cloud platforms, automation workflows and infrastructure that turn complex technical requirements into practical, reliable systems. My work spans Azure, DevOps, cloud security, integration engineering and product development.

01

About me

Building secure, scalable and practical systems

I am a cloud and platform engineer with professional experience delivering Azure infrastructure, DevOps automation and enterprise integration solutions for organisations including Imperial College London and the Institute of Cancer Research.

My approach combines engineering, cybersecurity and product thinking. I enjoy understanding the real requirement behind a problem, breaking it down technically and building a solution that can be automated, secured, documented and maintained by the wider team.

Alongside cloud engineering, I work on KalyTrex products and experimental platforms exploring safer digital experiences, intelligent automation and privacy-conscious software.

02

Core Skills

  • Cloud & Infrastructure
  • Microsoft Azure
  • Terraform
  • ARM Templates
  • Azure DevOps
  • GitHub Actions
  • Infrastructure as Code
  • Virtual Networks
  • VPN & Secure Connectivity
  • AWS
  • Oracle Cloud
  • Security & Identity
  • Microsoft Entra ID
  • RBAC
  • IAM
  • SSO & Federation
  • Zero Trust
  • Network Security
  • Secure Configuration
  • Cloud Security
  • Engineering & Automation
  • Python
  • Bash
  • CI/CD
  • Docker
  • Kubernetes
  • REST APIs
  • Git
  • Technical Documentation
  • Troubleshooting
  • Root Cause Analysis
03

Experience

Cloud Technical Consultant

Fusion Practices | March 2024 – September 2025

Delivered Azure infrastructure, integration and DevOps solutions across enterprise client environments.

Imperial College London

Built Terraform-based infrastructure automation, Azure Data Factory integrations and GitHub Actions CI/CD pipelines.

Automated Azure Data Factory deployments, reducing deployment time by 60% while improving credential handling and deployment consistency.

Institute of Cancer Research

Delivered Azure infrastructure using reusable ARM templates, Azure DevOps pipelines, virtual networking and secure cloud configuration.

Reduced environment setup time by 50% through Infrastructure as Code and produced deployment documentation and operational runbooks to support reliable handover and ongoing maintenance.

04

Projects

SafePlay SDK

SafePlay is a child-safety platform for digital gaming built around age verification, behaviour monitoring and policy-driven controls. The SafePlay SDK integrates directly into games while a companion monitoring application allows guardians to configure and manage safety policies. The platform is being designed to support multiple age-verification providers and future age-adaptive gaming experiences.

FPL VPN

Designed and built an internal VPN solution to provide secure, cost-effective remote connectivity while reducing reliance on external VPN services. Conducted vulnerability assessments, identified and remediated endpoint security issues and improved audit readiness. Developed a Python/PyQt5 administration interface for user management, monitoring and reporting to improve operational visibility and troubleshooting.

Nova AI

Nova AI is a self-hosted AI assistant focused on user-controlled data, secure automation and privacy-conscious task execution. The platform combines task orchestration, context management and third-party API integrations while applying security-by-design principles to access and sensitive data handling.

05

Achivements

University of Surrey Student Enterprise Ignite Award 2026 Winner for the SafePlay SDK project.

Azure Delivery Automation Reduced Azure Data Factory deployment time by 60% through CI/CD automation.

Infrastructure as Code Reduced Azure environment setup time by 50% through reusable infrastructure templates.

06

How I Work

I like taking ownership of problems from discovery through delivery.

I work best where engineering, security and business requirements meet: understanding what needs to happen, questioning unnecessary complexity, automating repeatable work and leaving behind systems that other people can understand and support.

Collaboration matters just as much as technical depth. I value clear communication, documentation and practical decision-making when working across engineering teams and stakeholders.

Need engineering support or want to discuss SafePlay?

Let’s make the next technical step clear and workable.

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