Hi! đź‘‹ I'm Josh, a full-stack engineer.
I'm passionate about building robust and scalable software, particularly with TypeScript and Go. My background in enterprise SaaS informs my approach to crafting solutions, whether it's developing AI-powered platforms or award-winning hackathon projects.
My focus is on delivering reliable, well-tested applications. I'm currently diving deep into the AI landscape—building agents, experimenting with LLMs—and enjoy sharing my learnings through my blog.
Skills
My approach to technical challenges is shaped by a diverse background in both early-stage fintech (building behavioural analytics for hedge funds) and rapidly growing enterprise platforms. This blend of experiences gives me a unique perspective on building robust and scalable solutions.
Tech Stack
Additional Experience
Capital Markets
Deep understanding of fintech and capital markets, with experience in developing analytical tools to support investment strategies.
Complex Systems
Proven ability to architect and implement solutions for intricate trading systems and multifaceted business requirements.
Enterprise Solutions
Delivering robust, scalable applications for enterprise clients, focusing on performance, security, and integration.
Featured Applications
I'm passionate about building and continuously exploring new technologies. This section highlights some of my recent user-facing applications, from AI-powered platforms to award-winning hackathon entries.
Developer Tools & Utilities
Beyond full applications, I also enjoy creating tools and starter kits that streamline development and explore specific technologies. Here are some of my contributions to the developer ecosystem.
Blog
Deep dives into technical challenges I've tackled, from teaching an AI dog new tricks to wrestling with WebSockets. These posts explore the reality of software development - accidental rabbit holes and JSON-induced existential crisis.
AIgument: The Art of AI Disagreement
Tired of predictable AI? AIgument transforms LLMs into theatrical debaters with distinct personalities and adjustable intensity. Watch a Shakespearean actor lock horns with a conspiracy theorist, then share the chaos.
Building a Live London Underground Tracker: Learning Go From Scratch
How I learned Go by building a real-time London Underground tracker, featuring concurrent polling, WebSockets, and lots of debugging.
Express Error Handling: Because Things Will Go Wrong
From try-catch hell to elegant error handling: A deep dive into implementing robust error handling in Express with TypeScript, custom error types, and global middleware.
Making Wooster Talk: A Deep Dive into Structured Logging
From chaotic console.logs to structured logging: How Wooster learned to communicate clearly using Pino, environment-aware configuration, and proper log levels.
From Fetch Mocks to MSW: A Testing Journey
How a simple Axios refactor led me down the path of modernizing my test mocks with Mock Service Worker, and the valuable lessons learned along the way.
Refactoring Wooster's API Layer: A Simple Approach with Axios
Moving from fetch to Axios: simplifying API calls, adding interceptors for authentication, and improving error handling - all while following the official documentation patterns.
Contact
Looking to build something interesting, tackle a tricky technical challenge, or just want to chat about tech? I'm always open to exploring collaborations, discussing emerging technologies (especially in AI and Go!), or debating the finer points of system design.
