AI Engineer

Building practical
AI-enabled software.

I'm Sadie Kim, a Sydney-based engineer focused on full-stack applications, AI workflows, and clear product experiences.

View my work Get in touch
About

I care about useful, reliable systems.

I am building a portfolio around applied AI engineering: web applications, backend services, model APIs, and the product details that make technical systems usable by real people.

This site is being rebuilt with real project notes and code links. In the meantime, the best way to understand my direction is through the work in progress below and my GitHub activity.

Python JavaScript HTML/CSS REST APIs LLM APIs Product Engineering
SK
Sadie Kim
AI Engineer
Work

Selected projects.

Applied AI and full-stack projects focused on usable workflows, human review, and practical automation.

Agent Orchestration demo: a planner coordinates Scout, Forge and Herald agents to research markets, draft a branded portfolio report, and schedule a review — with a human-approval gate.
Agents · OpenAI · Node · Google Workspace
Public

Agent Orchestration Demo

A multi-agent workflow (research → document → email → calendar, with a reviewer pass) that's safe to publish and free to host, yet really runs. The problem most agent demos dodge: where do API keys live and what happens when an agent touches email? Here keys stay in the browser (bring-your-own-key) or a same-origin Node proxy, external actions are gated behind an allowlist, and model output is escaped under a CSP. Ships as a single static page with an optional server.

Open live demo -> View GitHub ->
Static site · HTML · CSS · Cloudflare
Active

sadie.kim Portfolio

A lightweight personal portfolio hosted on Cloudflare Pages. The site is being shaped around real project work, clear technical summaries, and links to inspectable code.

View repository ->
Python · APIs · Evaluation
In progress

Applied AI Project Lab

A set of small, inspectable AI engineering projects focused on model API integration, retrieval, structured outputs, evaluation, and user-facing workflows.

View GitHub ->
Docs · Case studies · Notes
Drafting

Engineering Notes

Short write-ups on practical AI engineering topics: reliable outputs, retrieval design, user interfaces for AI features, and how to evaluate whether an AI workflow is actually useful.

Read drafts ->
Writing

Notes in progress.

Draft topics I am preparing as I build out the portfolio.

Draft AI UX

Designing AI features people can trust

Notes on making AI outputs inspectable, recoverable, and clear enough for day-to-day users.

->
Draft APIs

From model call to usable application

A practical look at the glue code around AI systems: validation, retries, structured outputs, interface states, and logging.

->
Draft Evaluation

What makes an AI workflow worth shipping?

A simple framework for comparing automation, augmentation, and manual workflows before treating an AI feature as successful.

->
Contact

Let's build something together.

I'm open to full-time AI engineering and full-stack product engineering roles where software quality, thoughtful interfaces, and practical AI workflows matter.

[email protected]