About

This year, I'm exploring what's possible for a non-engineer building with AI. Here is a flavour of what I've built so far (planning to write more about this!):

  • A personal task manager (inspired by Trello) to help manage all the work on my plate
  • A customer tracker for my team's newest 0>1 product. As we scaled customers, we needed a way to better (and less manually) track them. To do this, I built a tracker automatically ingesting from Slack, AE Google Sheets trackers, my calendar, and Salesforce
  • A slide generation tool for the retrospective analysis presentations. The impetus for this was that Google Slides was incredibly ineffective, and required lots of painful work that could be automated
  • I'm also working on an app related to money management in my personal time (watch this space)

I'm also hoping to do a coding bootcamp to build proper technical foundations.

I joined Plaid in 2025, in a BizOps role, embedded in the Fraud and Consumer teams. I essentially function as the operational backbone of my two product areas, using my judgement to figure out where the highest-leverage work is and then doing it. That spans:

  • Pricing and growth strategy (e.g., setting pricing and packaging for new products, identifying upsell opportunities; I found a $5–10M revenue opportunity across existing customers that no one else in the business was aware of)
  • Operationalizing systems (e.g., tracking for beta and retro customers, building workflows to streamline product support)
  • Building with LLMs to augment my work (e.g., custom dashboards for my product areas, forecasting models, using Claude Code for data analysis)

I spent six years at Bain & Company, mostly doing strategy and private equity due diligence work. I was especially known for:

  • Meaty, analytical strategy work; I was known for creating simple but powerful Excel models that synthesized lots of analysis around core strategic questions
  • Strong problem solving on ambiguous questions often outside core Bain competencies (e.g., financial/capital allocation strategy, forecasting mainframe usage 50 years out)
  • Developing people on demanding workstreams; I was consistently staffed with multiple junior or underperforming supervisees because I could reliably upskill them while still delivering

I stayed until I hit the Manager role because I thought it was rare to get the chance to run a very high-leverage, high-performing team so early in on my career. But I'd been following tech closely, had high conviction that I wanted to be an operator, and felt I was leaving at the point where I'd acquired the core skills I cared about building. I still think management consulting is one of the best places to start your career.

In 2025, I co-founded CaseChamp.ai, an AI mock interviewer for consulting candidates. I'm the CEO, involved in product (writing all the case content that underpins the interviewer, co-building the product alongside my technical co-founder) and all customer acquisition (online marketing, customer pitches, partnerships, website and blog development).

I studied at Penn, graduating with a dual degree from Wharton and the College of Arts and Sciences. I've worked in Sydney, New York, and San Francisco.

I'm a big skier, enjoy cooking elaborate dishes, and have strong opinions on interior design.

You can email me — it's nz, my first name, my last name, at gmail.com.