Work

Eight projects, each with the problem, what I did, and what changed.

Start with the index, filter by the kind of work you care about, or jump straight to a case. Where something is live, there's a link so you can check it yourself.

01 · Replit

Replit help center: knowledge that rebuilds itself every night.

  • Knowledge
  • AI adoption
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Challenge

Replit ships constantly. Help content that lags behind the product doesn't just confuse readers; it feeds wrong answers to the AI assistant and to support.

What I led

As the first person building Replit's Learning & Knowledge function, I designed the approach: content as code, with one maintained source of truth instead of pages edited in place.

What I built

  • Built it personally, backend included.
  • A GitHub source that feeds the help center, AI support bots, courses and videos.
  • Drift detection that flags content falling out of step with the product.
  • People review every change before it publishes. The automated part is the nightly rebuild: approved source is rebuilt and republished every night.

What changed

Content that makes up about 2% of the docs became the #1 sourced content across searches. Ask AI used it 4–5x more than long-established pages.

#1
sourced content across searches, from ~2% of the docs
4–5x
more Ask AI usage than long-established pages

Go look at it: replit.com/help →

02 · Replit

An LMS in three weeks.

  • Learning & leadership
  • AI adoption
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Challenge

Support onboarding needed a platform urgently. The conventional route, procurement then configuration, takes months before anyone learns anything.

What I led

I scoped what support onboarding actually needed and decided to build rather than buy, shaped weekly by the people learning on it.

What I built

  • A learning platform built from scratch, with a working beta in three weeks.
  • LaunchPad, a separate prototype exploring AI-scored practice and launch-ready training.

What changed

The platform now runs support onboarding end to end.

LaunchPad prototype screen showing an AI-scored practice exercise
LaunchPad, a prototype for AI-scored practice. Not a screenshot of the production LMS.
03 · Microsoft

Microsoft Office Training Center.

  • Knowledge
  • Learning & leadership
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Challenge

The same everyday Office questions kept arriving in support, every one of them a ticket someone had to work.

What I led

I led the team behind customer-facing Office learning, choosing to focus on the 100 most-requested tasks and to measure behavior, not views.

What I built

  • Short, scenario-based videos on the 100 most-requested tasks.
  • A measure-and-improve loop based on what people actually did next.

What changed

350 million monthly users, and $120 million a year in support savings as people found answers instead of filing tickets.

Microsoft Office training page with short task-based video lessons
Office training content, still part of Microsoft support.
350M
monthly users
$120M
a year in support savings
04 · Microsoft

Microsoft Virtual Academy: 220K to 4.5M+ subscribers.

  • Learning & leadership
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Challenge

Microsoft wanted free, global training for IT pros and developers, at a scale no classroom program could reach.

What I led

I led the team and the growth model: rapid, data-led iteration on what learners used, and steady expansion of the catalog.

What I delivered

  • A growth model driven by usage data, not catalog size for its own sake.
  • A continually expanding free course catalog for a global audience.

What changed

Subscribers grew from 220K to more than 4.5M in three years. The work earned the Bill Gates Training Visionary Award.

220K → 4.5M+
subscribers in three years
Award
Bill Gates Training Visionary Award

Want more detail on the growth model? Discuss the Virtual Academy project.

05 · Fortive

One standard for 400+ operating companies.

  • Change
  • Learning & leadership
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Challenge

Fortive Business System training was fragmented across operating companies, and every acquisition added another version.

What I led

I set a single training standard and a scorecard to hold it, across 400+ operating companies.

What I built

  • Converted two to three days of classroom basics into three to four hours of self-paced learning.
  • Built AI translation for nine languages.

What changed

A year-long backlog cleared, engagements ran 40% faster, and translation costs fell 75%.

40%
faster engagements
75%
lower translation costs, across 9 languages

Project materials are not published here. Discuss the Fortive project.

06 · SC Johnson

SC Johnson: an SAP rollout people were ready for.

  • Change
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Challenge

A year-long SAP rollout across the whole organization, where every role's daily work would change.

What I led

I led change management and digital learning: capability mapping by role, training at every level, and the business case for WalkMe.

What I delivered

  • A role-by-role capability map.
  • Training for every level of the organization.
  • Led the WalkMe build for in-system help.

What changed

Every level was trained for go-live, with help available inside the system itself.

Every level
trained for go-live, with in-system help from day one

Project materials are not published here. Discuss the SC Johnson project.

07 · DoubleVerify

DoubleVerify: a four-tier leadership pipeline.

  • Learning & leadership
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Challenge

There was no consistent path from individual contributor to executive.

What I led

Working with external consultants, I designed a four-tier pipeline: aspiring leaders, new managers, managers of managers, executives, held together by a competency rubric. I also led the people workstreams for the acquisition of an AI company.

What I built

  • DV University.
  • Leadership 101.
  • A competency rubric for all four tiers.

What changed

Launched Leadership 101 and DV University; the privacy course reached 100% completion.

4 tiers
from aspiring leader to executive
100%
completion on the privacy course

Project materials are not published here. Discuss the DoubleVerify project.

08 · Independent

Six Second Resume: AI that drafts, people who decide.

  • AI adoption
  • Builder
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Challenge

AI resume tools invent claims, and the person whose name is on the resume pays for it.

What I led

I designed the product around one rule: the AI drafts, the person decides what's true.

What I built

  • Built and launched a pipeline of specialist steps.
  • An independent truth check that flags unsupported claims for human review.

What changed

It's live at sixsecondresume.com.

Six Second Resume homepage
sixsecondresume.com, live.
More work

From the archive.

Files and links for these are being gathered. They're labeled honestly until they're up.

Course · Madecraft

LinkedIn Learning course

Video instruction designed for a global audience.

Link coming soon
Microlearning

Blindspots

Inclusion microlearning in short, practical pieces.

Link coming soon
Conference talk

Rapid Storytelling

A talk on building stories quickly that still land.

Link coming soon

Small bet first.

Hiring for a role, or need help with a project? Either way, let's talk for 30 minutes. If I'm not the right fit, I'll tell you who is.