GH KIM

Strategy & Operations, powered by AI.

I turn manual, error-prone operations into AI-enabled systems that teams actually adopt, and I leave the team able to run them. At Indeed, I own OKR planning and executive reporting for Growth Marketing and lead the team's AI adoption, giving the team 60+ hours a month back. Before that, a decade-plus running operations and programs across healthcare, public health, cloud, and advertising, as a CIO and a Director of Operations.

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HUN KIM
Hun Kim

What I Do

What I build. Operating systems for the business side of companies. Planning and performance management, automated reporting, and plain-English AI analytics that put answers in leadership's hands. The work sits between leadership's questions and the underlying data, turning recurring "I wish I knew X" into something you can ask.

Who it's for. Founders, CEOs, and senior leaders putting AI into the operating layer of their business. Not as a chatbot demo or a marketing add-on. Open to fractional, advisory, or full-time engagements depending on fit.

What I'm not. Not a researcher, a prompt consultant, or a marketing-AI vendor. Not someone who hands you a deck and walks away. I own the outcome, and the systems I put in place keep running after I leave.

How I work. I don't just ship the system - I set the standard and leave the team able to run it. PRD-driven method, quality rubrics, and the judgment to know when the right answer is a deterministic tool, not an LLM. Systems that outlive my involvement.

Selected Work

The Automation Play

Role
Strategy & Operations Manager, Indeed
The Mission
Replace hand-copied budget reporting with one trusted source of truth, and put on-demand budget answers in the hands of marketing leadership.
The Build
An automated daily budget pipeline feeding 20+ team planning sheets (~20,800 line items, 22 quality checks per run, zero manual touches), a plain-English AI budget analyst over the data warehouse, and an automated OKR change-request process. Lead advisor on a teammate's AI-built budget management app.
The Outcome
60+ hours a month back to the team; budget questions answered in minutes instead of hours; manual budget updates cut ~60%; 100% of budget changes logged. Became the foundation for the team's standards on building with AI.

The Scale Play

Role
Director of Operations
The Mission
Design and execute a statewide K-12 COVID testing program from scratch.
The Build
Built operational models, logistics workflows, and data pipelines serving thousands of students across multiple districts.
The Outcome
Scaled to $7.8M annual revenue; improved sample collection throughput by 40%; reduced invalid samples by 15%; expanded contracted school systems by 71%.

The Speed Play

Role
Technical Product Manager
The Mission
Launch a complex compliance product for a major technology client under aggressive deadlines.
The Build
Delivered requirements, coordinated engineering sprints, and managed client expectations end-to-end.
The Outcome
Delivered in 1.5 months against an industry-standard 3 to 6 month timeline, unlocking new revenue streams and a multi-year client engagement.

The Agent Play

Role
Builder & Operator
The Mission
Build a personal AI operating system that handles the recurring shape of a working day (calendar, mail, tasks, weekly briefs, ongoing strategic context) so the day runs on anticipation rather than reactive triage.
The Build
A custom autonomous agent on a scheduled-task architecture running ~19 recurring jobs against real accounts through MCP (Model Context Protocol) connectors - Gmail, Calendar, Todoist, Asana, Drive. A long-term memory layer (pgvector) for preferences and past decisions, a bidirectional Telegram channel for proactive push and plain-English control, and a weekly self-audit. Over a dozen subsystems spanning daily briefs, weekly reports, calendar and mail processing, networking surfacing, persona research, and personal-finance review. Built and operated by one person, in plain English, via AI-assisted tooling.
The Outcome
In daily production for months. Replaced a half-dozen disconnected AI workflows with a single unified agent that keeps its own state and memory. Codename: Hawat - a working proof-of-concept for autonomous personal-ops agent design.

The Intelligence Play

Role
Builder & Operator
The Mission
Eliminate latency and noise in high-volume job tracking by building an AI-powered candidate-matching platform.
The Build
Multi-source aggregation engine scraping job boards via RSS and JSON-LD extraction. AI ranking system using the Groq API to grade listings A+ through F against a candidate profile with written reasoning. Automated daily digest pipeline delivering top matches to a dashboard and personalized newsletters.
The Outcome
Zero-infrastructure SaaS prototype with AI-driven relevance scoring; manual review time cut from hours to minutes. Built for white-label deployment across specialized hiring verticals.
Open Source
sheet-grader: the LLM grading pattern from this project, extracted as a reusable Google Apps Script (MIT-licensed).

The Product Play

Role
Builder & Operator
The Mission
Eliminate latency and noise in sports injury tracking by building a real-time, automated intelligence platform.
The Build
Serverless full-stack solution using Supabase (Postgres), React + Vite, and Cloudflare Pages. Automated ingestion engine via Google Apps Script to normalize NFL API streams and trigger personalized alerts via Resend.
The Outcome
Live at fantasyinjurytracker.com, processing injury updates every few minutes with zero manual oversight.

Tools & Technologies

Strategy & Operations
Strategic & Business Planning, OKRs & Performance Management, Executive Reporting, Budget & Financial Operations, Process Automation, AI Enablement & Adoption, Cross-functional Program Leadership, Vendor Management, Change Management
AI & Data
Claude, Claude Code, ChatGPT, Cursor, MCP, Snowflake, Tableau, Power BI, Looker Studio, Google Workspace automation
Certifications
Claude Certified Associate - Foundations (CCAO-F), PMP, CSM, ITIL Foundation, CompTIA Network+, CompTIA Project+