Interests related to building software
Check out my LinkedIn for a more conventional CV.
Agentic workflow: I’m interested in building agentic systems that can plan, execute, and verify work end to end, especially when paired with strong guardrails, observability, and human review. I care about making these workflows practical for day to day product teams.
P vs NP (and related math): I enjoy the ideas around computational complexity and why certain problems resist efficient solutions. It’s a useful lens for deciding what to brute force, approximate, cache, or redesign.
Automation: I like turning repetitive processes into reliable pipelines: scripts, scheduled jobs, data workflows, and “one click” internal tools that reduce manual work and prevent errors.
Customer messaging channels: I’m interested in messaging as a product surface, building the channels where customers can reach teams, and the systems behind them: routing, automation, context, and analytics.
Day to day stack: Next.js, React, TypeScript, Prisma, shadcn/ui, NestJS.
Stack I love: Ruby on Rails. I like it for product work where speed, conventions, and a coherent “happy path” matter. Rails encourages simple domain modeling, boring CRUD done well, and a tight feedback loop from idea to shipped feature.
Tools I adore: Droid (Factory.ai coding agent), plus the small things that compound: editor extensions, good linters, tight CLI workflows, and automation that keeps feedback loops short.
Note taking: Obsidian. I use it as a lightweight knowledge base for projects, ideas, and research. Daily notes and backlinks help me keep context over time, and a simple structure (short docs, good titles, links over folders) makes it easy to find things later.
Other interests
My interests change as I learn more and try new things. If you’re into any of the same topics, feel free to reach out. (Updated 3 Mar 2026)
Psychology: I enjoy blogging about psychology at galleryot.com.
Science channels: I like watching Veritasium, Purple Mind, and Vsauce.
Physics: I’m interested in physics topics and the mental models they build.