Case studies

Systems in production context

Building reliable digital systems with performance, automation, and scalable architecture.

A selection of practical work focused on shipping systems that stay understandable under load: faster APIs, automation layers, and modular content infrastructure.

Next.jsNode.jsPostgreSQLAutomationAI systems
Server infrastructure representing business application performance optimization
Business Applications

99.9% uptime achieved

Faster, more reliable business operations

Problem

Business applications often become slow or unstable as usage grows, leading to delays and poor user experience.

Approach

Optimized backend performance by improving API efficiency, refining database queries, and introducing caching strategies.

Tech used

Node.jsTypeScriptRedisMongoDB

Results

45ms

Stable performance during peak usage

5×

Improved overall system reliability

Automation workflow illustration showing process improvements
Automation & AI

Automating time-consuming tasks

Problem

Manual and repetitive processes were slowing down operations and increasing the risk of human error.

Approach

Built automated workflows using scheduled jobs and AI integrations to handle repetitive tasks, freeing up team capacity and reducing errors.

Result

85% Reduction

in research time for associates.

Modern e-commerce headless CMS interface
E-commerce BackboneEnterprise

+32% conversion lift

Modular headless CMS

Tech & approach

Decoupled the frontend from a monolithic backend using Next.js and Strapi, served via a global edge network.

Next.jsNode.jsPostgreSQL

Scalability results

Lighthouse Score100/100
Conversion Lift+32%

Let’s build

Want a system that stays fast, clear, and maintainable in production?

Send the messy version. I’ll help turn it into a buildable plan and ship increments you can trust.