Founder & CEO, Ledgerline (demo)
AI close-automation for mid-market finance teams. Product, GTM, and the first eleven hires.
Demo Founder Singapore · Remote
Founder & Operator
Building AI tools for modern
finance teams.
Currently: founder & CEO of Ledgerline (demo) — agents that close the books with the controller, not instead of one. Before that: a decade shipping and scaling B2B products.
Now
Founder & CEO · 2024 — Ledgerline (demo company)
Close the books in days, not weeks.
Ledgerline puts AI agents inside the monthly close: reconciliations drafted, journal entries proposed, anomalies flagged — every step reviewed and approved by the controller. Finance stays accountable; the grind disappears.
Stage Seed · $4.5M raised
Traction 40 finance teams · $2.1M ARR
Team 11 people across 4 time zones
sample figuresBackground
Operator’s résumé, short version.
VP Product — fintech scale-up (TODO)
Owned the payments product line from $0 to $30M ARR (sample); built a 6-PM org and the pricing function.
Engineering lead — B2B SaaS (TODO)
Grew the platform group from 3 to 24 engineers; led the re-architecture that survived 40× traffic.
Software engineer — infrastructure & data (TODO)
Distributed systems and data pipelines. Still the fastest way I know to understand a business.
Selected wins
Things that compounded.
Sample wins — swap in your own. Keep them concrete: numbers, names, dates.
01
$0 → $30M ARR
Payments product line, four years — pricing rebuilt twice, one platform migration, zero downtime cutover. (sample)
02
3 → 24 engineers
Hired and retained a platform org through hypergrowth; 90% retention over three years. (sample)
03
4.2k stars
Open-sourced the internal reconciliation engine; now used by teams we’ve never met. (sample)
04
11 days
Median close time across Ledgerline customers, down from 23 at onboarding. (sample)
Speaking · Media · Advisory
Off the build.
Speaking
- “Agents in the audit trail” — fintech conference, 2026 (sample)
- AI × finance panels and podcasts (sample)
- Guest lectures on B2B product (sample)
Media
- Interviewed on the future of the close (sample)
- Essays on operator-led AI adoption (sample)
- Open-source project write-ups (sample)
Advisory
- Advising two seed-stage AI × fintech teams (sample)
- Open to: advisory, fractional product / engineering leadership
- Angel: finance infrastructure & dev tools (sample)
Contact
Building something in finance × AI?
Fastest path is email — I read everything. For advisory or fractional work, a short intro call is the right first step. Either way, bring the hard problem, not the deck.
Advisory · fractional · speaking — limited slots