akin-genc / README.md

## About

Akin Genc

I'm a Software Engineer at Elanco, working across cloud infrastructure, DevOps, and full-stack development with Terraform, Azure, GCP, TypeScript, and Next.js. I'm in my final year studying Computer Science at the University of Reading, graduating in 2027, and enjoy building scalable software, automating workflows, and learning new technologies.

toolkit

TypeScript /JavaScript /Java /React /Tailwind CSS /Terraform /Docker /Node.js /Microsoft Azure /Google Cloud

## Projects

Things I've built

view GitHub

## Highlights

Things I've improved

01

Release automation

Reduced iOS release time from around four hours to 5-10 minutes with GitHub Actions and Ruby.

02

Open-source component library

Built and published Looply, a reusable React component library with TypeScript and Tailwind CSS, reaching 100+ npm installs.

current.md

What I'm learning

01

Learning

Terraform infrastructure

Reusable infrastructure modules and safer multi-environment delivery.

02

Learning

Google Cloud Platform

Cloud architecture, observability, and scalable application delivery.

03

Building

CI/CD that removes friction

Delivery pipelines that make releases predictable and fast.

case-studies.md

Work with measurable outcomes

01

GitHub Actions, YAML, Ruby

Mobile release automation

Replaced a time-consuming iOS and Android release process involving manual package builds, approval emails, signing credentials, and publishing with an automated workflow. Reduced iOS deployment time from around four hours to 5-10 minutes.

02

TypeScript, React, Tailwind CSS

Looply component library

Noticing a gap for a reusable neumorphic component library, designed, built, and published Looply with a live documentation site and npm package, reaching 100+ downloads.

explore Looply
03

Terraform, Azure, Google Cloud

Cloud observability

As cloud spend increased, built reusable Terraform alerting modules across Azure and Google Cloud, then shipped them for other teams to monitor costs and act before overspending.

04

TypeScript, Next.js, Schema.org

Generative engine optimization

Generative AI tools were pulling Pet Portal product details from third-party sources, risking misinformation. Implemented Schema.org data so AI systems can access accurate first-party product information.