Selected work

Recent AI enablement work, plus the engineering background behind Giantfish.

Case study · Private credit

A deal screening and diligence workflow for a private credit manager

A U.S. private credit manager. Every new deal needed a screening summary in the firm's own Excel template and a diligence request list. Both were built by hand, and each person used AI differently.

Scope
Screening summary and diligence request list, built into the firm's own AI account
Approval
Access terms reviewed and approved by the firm's compliance team and counsel
Training
Five live, recorded sessions for the investment team
Handoff
The workflow, a playbook, and the training recordings, all owned by the firm

What happened

  • The team was testing the first working version within three days and sent structured feedback.
  • Their feedback shaped three more versions, including updates to the firm's template and analysis the associates had started building themselves.
  • Associates began proposing their own additions, which we folded into the shared workflow.
  • Other teams asked for the materials.
deal-screen.xlsx · Sample deal (fictional)Draft · for analyst review
Business overviewCommercial HVAC services, 14 branchesCIM p. 4
Adj. EBITDA$18.2M (LTM)QoE, tab 2
Customer concentrationTop customer is 11% of revenueCustomer file
Key risksTechnician retention, end-market cyclicalityCIM p. 18
Illustration with a fictional company. Drafts land in the firm's own template, with a source for each field, for an analyst to review.

Engineering background

Disney+

The core API behind Disney+

Work on the core Node.js API for Disney+, a service used by more than 150 million people.

Mastercard

Click to Pay architecture at Mastercard

Architecture work on Mastercard Click to Pay, built on the EMVCo Secure Remote Commerce (SRC) SDK.

Axios

A faster Axios

Front-end performance work at Axios, which won a Webby for performance.

Book a 30-minute callHow AI enablement works