Engineering Log

Iterations

Learning through building. One project at a time. Hands-on AI engineering from the terminal up, shipping real products, and documenting every lesson learned along the way.

30+ projects // 1,500+ tests // AI-native


iterations.ts

// what gets built here

 

const focus = [

  “local-first AI systems”,

  “on-device inference”,

  “full-stack prototypes”,

];

 

iterate(focus, {

  tests: 1547, passing: true

});

all systems nominal

Explore by Topic

Categories

01

LLM Patterns

Prompt engineering, RAG architectures, fine-tuning workflows, and production LLM patterns.

8 posts

02

Local-First AI

On-device inference, edge ML, privacy-first architectures, and offline-capable AI systems.

6 posts

03

Full-Stack AI

End-to-end builds spanning React, gRPC, Python, Rust. From prototypes to production systems.

10 posts

04

Lessons & Reflections

Hard-won lessons, project retrospectives, and reflections on the craft of engineering.

5 posts

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About

The Builder

I ship across AI, mobile, enterprise, and open source. Iterations is where I document the process — the architecture decisions, the debugging sessions at 2am, and the lessons that only come from building things end to end.

Every project here started as a question. How do you run LLMs on commodity hardware? How do you build an AI assistant that works offline? How do you ship a multi-platform app with one person? The answers are in the iterations.


Languages

Python, TypeScript, Rust, Dart, Swift

Shipped

30+ projects across AI, mobile, web

Tech Stack

AI / ML

PyTorch, Ollama, Whisper, Claude

Backend

Python, gRPC, PostgreSQL, Rust

Frontend

React, TypeScript, Vite, Tailwind

Mobile

React Native, Expo, Swift

Infra

NixOS, Docker, Supabase, GitHub CI

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