I'm a builder at heart and I love solving problems. It brings me great joy to build something that can meaningfully improve my or someone else's life.
I use technology to solve these problems with an emphasis on building sustainable software.
I'm particularly interested in several key areas:
From 2017-2025 I worked in the Financial Industry developing market exploration and visualization software across a wide range of areas and teams.
Built a fast website to showcase my portfolio.
Problem it solves: Need a way to showcase contributions and interests.
Tech Stack: Simple converter that transforms structured content into static HTML. Hosted using AWS Amplify as the simplest thing I could find.
Easy application to ingest raw recipes, model them into a unified domain model, and persist them.
Problem it solves: I find a recipe I like and want to save it, but saving only links is cumbersome when I want to cook later or share with family and friends.
Tech Stack: Python app using a multi-stage LangChain agent with Bedrock to parse recipes, Flask for UI, Auth0 for auth, and Railway for app hosting and Postgres.
Simple application to generate consistently themed AI images while keeping them unique to your brand.
Problem it solves: Needed an easier way to produce coherent, branded image sets.
Tech Stack: Prompt and image-generation workflow tooling designed for consistent visual output.
I use Claude Code for pairing on projects and its extensibility. While context engineering and maintaining agents, skills, and commands are still new, they already pay dividends.
I use Home Manager to set up my developer environment and tooling. The learning curve is worth it for fast machine setup with zsh and tmux configured out of the box.
Makes it simple to manage and use multiple types of LLMs while constraining the costs.
A simple way to structure thoughts and capture quick notes.
Key takeaway: This book bridges the gap between knowing design patterns and knowing when to apply them by teaching how to evolve code toward patterns rather than forcing them.
Key takeaway: The emphasis on meaningful names, small functions, and clear abstractions has improved the quality and longevity of code I write and review.
Key takeaway: A strong set of principles to keep in mind when building scalable services.