Personal / Professional Thinking Surface
Software engineer with a product manager's discipline — system architecture, evaluation, and the writing that makes both legible. Currently consulting through Bounteous.
Three pillars
Software, data, and AI systems built with a product manager's discipline — GCP architecture, BigQuery, Dataform governance, ML pipelines, agent workflows, and the evaluation that makes them trustworthy in production.
Architecture and devlogs from real games (Abuela, Hippi Kingdom) and from agentic simulations of business processes and customer experience — interactive systems where the design problem is what the system does, not just what it shows.
Applied complexity, decision intelligence, and the organizational systems thinking behind technical work — how teams, ownership, and feedback loops shape what gets built.
Technical decisions, system tradeoffs, and outcome accountability.
Short notes and deep dives across all pillars.
Worth-keeping shares from elsewhere on the web — articles, papers, tools.
A senior data engineer's decade of candid career lessons — job mobility, technology stacks, management dynamics, and data-engineering-specific realities — delivered in a deliberately irreverent tone.
The value isn't novelty; it's calibration. The framing strips out the polish that makes most career advice easy to agree with and harder to actually use.
A full account of building Fame Boy — a working Game Boy emulator in F# — covering CPU, PPU, and APU implementation, optimization decisions, and what the project revealed about how computers actually work.
The F# angle is useful: it shows where functional programming fits naturally in low-level emulation work and where it requires deliberate workarounds.
The connector shape on USB-C says nothing about what the cable can actually do, which is why the situation is so confusing. This guide cuts through it: why manufacturers ship slower "charge cables" alongside capable ports, and which cable specs actually match each device class.
Worth keeping as a reference because the confusion is durable and the recommendations are concrete.
Start with the portfolio and case studies, then continue the consulting conversation through Bounteous.