Welcome to Jack Creates
I'm Jack, from Northern Ireland, a London-based Software Engineer currently working at J.P. Morgan Chase. This blog is my corner of the internet to share what I'm building, learning, and exploring.
A Bit About Me
My career has been centred around working with data and optimisation. My first two roles were at startups where I honed that focus, and now I'm in the fixed income space working with real-time financial data.
I studied Computer Science and AI at the University of Edinburgh. While I was there, I joined a society that designed and built a Hyperloop Pod for the SpaceX Hyperloop competition. We placed top 6 in July 2018.
Before J.P. Morgan Chase, I worked at two startups. Continuum Industries focused on AI-powered infrastructure planning. Prospective was a smart city company that optimised bus scheduling, using transport data to make timetables more effective.
The transition from startup environments to a more structured corporate role has been an interesting shift. I learned by doing both ways, and I came out sharper.
Outside of work, I'm into space (the final frontier kind), building software, triathlon, running, cycling, swimming, weightlifting, socialising, padel, and pickleball.
Why This Blog Exists
I write about whatever interests me, but the core themes are:
- Building tools that help software engineers move faster and solve harder problems.
- Documenting my journey with data, optimisation, and AI.
My Relationship with AI
LLMs are a huge increase to our leverage as software engineers. The real artefact of our work is having good prompts and good processes. I'm focused on getting to a higher level of abstraction and staying maximally productive in that space.
Who This Is For
This blog is for:
- Engineers looking for practical LLM and AI insights.
- Fellow entrepreneurs who want to follow my journey.
- Anyone curious about AI tooling, prompts, and building software.
What You'll Get
Reading this blog, you'll find:
- Deep dives into system prompts and AI engineering (how to build, test, and refine prompts that actually work).
- Practical insights on building products with AI (from idea to launch).
- My journey building in public (obstacles, wins, everything in real time).
Find me elsewhere: