Platform Engineer focused on building scalable, reliable, and cost-efficient systems in Azure.

Background in design and fashion, now working across backend engineering, cloud infrastructure, and DevOps. I enjoy turning complex operational problems into simple, automated solutions.

• Cloud-native architecture on Azure
• CI/CD and infrastructure automation (GitLab / Azure DevOps / Terraform)
• Distributed systems (messaging, caching, background processing)
• Performance optimisation and cost reduction
• Applying AI to real-world engineering problems

Backend & Languages C# / .NET (6–8), ASP.NET Core, Python

Cloud & DevOps Azure (Functions, Service Bus, Event Grid, Cosmos DB, App Service) Terraform, GitLab CI/CD, Azure DevOps

Architecture & Data Redis, event-driven systems, microservices

Observability & Security Application Insights, Log Analytics (KQL), Fortify, Nexus IQ

• Built internal platform services to orchestrate and monitor virtual environments
• Migrated infrastructure from scripts to Terraform
• Designed Redis-based global holiday caching system (geo-aware)
• Improved CI/CD pipelines to increase reliability and reduce build friction
• Working on predictive models for system usage patterns

• AI-powered language learning tool (image → vocabulary → spaced learning)
• Fashion & brand intelligence app (style generation based on brand DNA)

• Prefer simple and maintainable solutions
• Focus on measurable impact (cost, performance, reliability)
• Strong debugging mindset — understand root cause, not just fix
• Comfortable across backend, infrastructure, and pipelines

• LinkedIn: https://linkedin.com/in/lucien-lin-yh

• Full-stack training at Founders and Coders (FAC)
• Generative AI training at Encode Bootcamp

Azure • .NET • Terraform • GitLab • Docker • Redis • Python • Linux