Building & Learning
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 retro 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.
Plaid
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:
- Running the retro motion for the Fraud team's newest product. As part of this, I lead a team of MLEs and data scientists. I work with prospective customers to understand their context / fraud problems and with our data team to run the retros and turn them into compelling presentations with a clear business case
- Growth and pricing strategy (e.g., identifying upsell opportunities - I found a $5–10M revenue opportunity across existing customers that no one else in the business was aware of, setting pricing and packaging for new products)
- Operationalizing systems (e.g., tracking for beta and retro customers, building workflows to streamline product support, improving account management for core products)
- Building with LLMs to augment my work (e.g., custom dashboards for my product areas, forecasting models, data analysis, automated slide generation)
Bain & Company
I spent six years at Bain & Company, mostly doing strategy, M&A and private equity due diligence work, and mostly in financial services and tech. I was especially known for:
- Strong problem solving on ambiguous questions often outside core Bain competencies (e.g., financial/capital allocation strategy, complex / technical M&A or due diligence)
- Meaty, analytical strategy work; I was known for creating simple models that synthesized lots of analysis around core strategic questions
- 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.
Case Champ
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).
Personal
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.