Product-minded builder across AI, automation, and community

Building useful AI systems for messy human workflows.

I turn ambiguous product and operations problems into shipped tools, cleaner workflows, and communities that compound trust.

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San Francisco, CAProduct strategyAI automationTechnical PM / PMM
Courtney Ko
Recent impact
2h → 30m
workflow processing
1w → 1.5h
case review workflow
75%
faster enterprise workflow processing
90%
faster case review with AI summaries
3.9K+
Pearle itineraries generated in beta
8K+
AI builders connected through AI Valley
Product Context

Real people, real places, real builder rooms.

Pearle came from lived travel behavior. AI Valley comes from creating rooms where technical people actually want to build.

Travel research
User context
Travel research
Itinerary inspiration
Pearle
Itinerary inspiration
Builder conversations
AI Valley
Builder conversations
Technical workshop
Community
Technical workshop
Founder programming
Female Founder Brunch
Founder programming
Women building AI
Ecosystem
Women building AI
Featured Work

Three proof points across automation, AI product, and ecosystem building.

Each project shows the same pattern: find the real workflow, build the minimum useful system, and make the outcome measurable.

NVIDIA · Automation Systems
Technical PM · AI Automation

Self-serve automation for enterprise operations workflows.

Built internal tools that turned repetitive, high-friction operational workflows into faster self-serve systems.

2h → 30m
AI Valley · Community & Ecosystem
PMM · Community Growth

High-signal AI programming for founders, engineers, and partners.

Scaled community operations and event systems for a technical AI ecosystem in San Francisco.

8K+
Pearle · AI Travel Platform
Founder · AI Product

An AI group travel planner that transformed messy inspiration into itineraries.

Founded and shipped a 0 to 1 AI travel product with LLM-powered itinerary generation and collaborative planning flows.

10w
Case Studies

Detailed work, without the fluff.

Problem, role, process, build, tools, and outcomes for the work recruiters and hiring teams are most likely to care about.

Flagship case study

NVIDIA Automation Systems

The clearest proof of technical PM range: workflow diagnosis, internal tooling, Python automation, AI-assisted summaries, and measurable operations impact.

Jump to NVIDIA
NVIDIA · Automation Systems

Self-serve automation for enterprise operations workflows.

Built internal tools that turned repetitive, high-friction operational workflows into faster self-serve systems.

2h → 30m
workflow processing time
1w → 1.5h
case review time
3+
team members enabled to self-serve

Problem

Manual enterprise operations workflows were slow, repetitive, and dependent on specialized knowledge spread across systems and stakeholders.

My Role

Business Analyst, Automation & Systems. I identified workflow bottlenecks, translated operational pain points into internal tools, and built Python-powered automation flows.

Process

  • Mapped manual request workflows to isolate repeated decisions and fragile handoffs.
  • Partnered with stakeholders to define a self-serve workflow that non-specialists could use independently.
  • Prototyped automation paths, validated outputs, and tightened the experience around speed, trust, and consistency.

What I Built

  • Self-serve UI for a recurring enterprise operations workflow.
  • Python workflows that transform unstructured request data into structured operational inputs.
  • AI-powered case summarization workflows for faster review and resolution.
Self-Serve Operations Console
Enterprise Workflow Automation
Live flow
Request intake
Normalize fields
Structured output
Case context
AI summary pass
Review brief
2h → 30m
workflow processing time
1w → 1.5h
case review time
Operator view
1Validate request data
2Generate structured inputs
3Summarize review context

Tools Used

PythonInternal platformsAI summarizationWorkflow automationSelf-serve tooling
Outcome

Reduced repetitive work, improved process consistency, and gave the team a faster operating model for recurring internal workflows.

AI Valley · Community & Ecosystem

High-signal AI programming for founders, engineers, and partners.

Scaled community operations and event systems for a technical AI ecosystem in San Francisco.

8K+
engineers and founders connected
500+
hackathon registrations
20+
events hosted

Problem

AI communities can become noisy quickly. Builders need useful rooms, real technical programming, strong partners, and reasons to keep returning.

My Role

COO and community builder. I helped design programming, partnerships, event operations, and the systems behind community-led growth.

Process

  • Designed programming around what builders actually need: hands-on API adoption, hackathons, demos, and founder relationships.
  • Coordinated sponsors, partners, organizers, and builders so events created value on every side.
  • Built repeatable operating rhythms for events, outreach, activation, and community momentum.

What I Built

  • Technical hackathons, workshops, and founder events.
  • Partner experiences with AI infrastructure and ecosystem companies.
  • San Francisco all-women AI hackathon with 500+ registrations.
Builder lounge
Technical workshop
Builder conversations
Packed AI room
Founder talk
Female Founder Brunch
Community engine

Tools Used

Community-led growthEvent strategyPartnershipsDevRelOperationsAI APIs
Outcome

Created a community engine that connects builders, sponsors, and founders through credible technical programming.

Pearle · AI Travel Platform

An AI group travel planner that transformed messy inspiration into itineraries.

Founded and shipped a 0 to 1 AI travel product with LLM-powered itinerary generation and collaborative planning flows.

10w
MVP delivery timeline
3.9K+
itineraries generated
25+
private beta users

Problem

Group travel planning starts with scattered inspiration, screenshots, social posts, and conflicting preferences. Turning that into a shared plan is tedious.

My Role

Founder and Product Lead. I shaped the product vision, roadmap, MVP scope, user flows, research loops, and launch priorities.

Process

  • Interviewed beta users to understand how groups collect, compare, and commit to travel ideas.
  • Defined the core itinerary generation loop and prioritized the fastest path to a usable MVP.
  • Iterated on private beta feedback to improve clarity, collaboration, and generated itinerary quality.

What I Built

  • LLM-powered itinerary generation experience.
  • Structured data pipeline for turning travel inspiration into editable plans.
  • Collaborative planning flows for groups comparing options.
AI planning loop
10w
MVP delivery timeline
3.9K+
itineraries generated
25+
private beta users
Validated demand for AI-assisted group travel planning and turned a broad consumer problem into a focused, testable product experience.

Tools Used

LLM APIsNLP pipelinesProduct strategyUser researchPrototypingRoadmapping
Outcome

Validated demand for AI-assisted group travel planning and turned a broad consumer problem into a focused, testable product experience.

About

Warm human, rigorous operator.

San Francisco State University logo
M.A. Psychology
San Francisco State University
UC San Diego logo
B.S. Cognitive Science
UC San Diego

My background sits between UX, psychology, product, AI tools, and community building. I like problems where the user need is real, the workflow is tangled, and the best solution requires both taste and systems thinking.

I have led 0 to 1 product work, built automation for enterprise operations, designed AI-powered workflows, and created rooms where technical builders actually want to spend time.

The throughline is simple: I make complex things feel usable, credible, and momentum-building.

Skills / Toolkit

Product judgment with technical fluency.

A practical mix of strategy, research, automation, prototyping, and community-led growth.

Product Strategy

Roadmaps0 to 1 MVPsExperimentationLaunch loops

AI Automation

Workflow optimizationAI summariesLLM APIsInternal tools

Research & UX

User interviewsJourney mappingPrototypingFigma

Technical Fluency

PythonSQLAPIsData workflowsInternal systems

Builder Tools

Claude CodeReplitRapid prototypesPrompt systems

Community Growth

Event strategyPartnershipsDevRelFounder ecosystems
Contact

Interested in AI product, automation, or community-led growth?

I’m always happy to talk with teams building useful products, better internal systems, and thoughtful technical communities.

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