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Tel Aviv · 4 languages

Diego Pilosof.

Strategic Finance & FP&A.

Building AI workflows for finance and revenue operations.

Finance people who read API docs and engineers who understand revenue recognition rarely live in the same person. I work in that gap.

Most recently: Financial Controller at Compugen, a Nasdaq-listed technology company.

CPA · Big 4 trained · MERN engineer

If you lead a finance function and you're putting AI in your stack, let's compare notes.

Email me → Download CV
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01 The operator

About

I'm a CPA trained at EY Tel Aviv's High-Tech and VC-Backed practice, and most recently the Financial Controller at Compugen, a Nasdaq-listed technology company. The work that taught me the most was sitting at the seam between accounting rigor and business decisions, contributing to ASC 606 revenue recognition for high-complexity multi-period contracts while acting as the analytical arm to department heads who needed P&L drivers explained, not just reported.

Over the last year I added a Full Stack MERN bootcamp at Israel Tech Challenge and started shipping production AI agents in n8n and Claude for finance workflows. The next decade of FP&A and Strategic Finance is being rewritten by the people who can speak both languages. That's the seat I'm building toward.

02 Current quarter

Now

Updated

  • Building: Revenue Recognition Memo Agent. Shipping next.
  • Studying: how AI finance workflows hold up under audit scrutiny.
  • Rowing 4x per week, weightlifting 2x.
03 Shipped and shipping

Projects

SaaS Financial Dashboard

Shipped

Cohort retention curves, MRR projection, unit economics, and dynamic runway with sensitivity for a venture-backed SaaS scenario.

  • React
  • Recharts
  • Custom modeling engine

The same modeling engine adapts to segment reporting, driver-based forecasting, and integration scenarios with one config change.

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n8n Invoice Processing Pipeline

Shipped

Reads incoming PDF and email invoices, extracts vendor, amount, and line items with AI, and writes structured data straight to the target system.

  • n8n
  • Claude API
  • AI document extraction

The manual data-entry step at the start of every AP cycle, removed. The pipeline ingests invoices from email or upload, extracts the structured fields with AI document parsing, validates against tolerance rules, and routes only the edge cases to a human. Built so the finance team stops typing and starts reviewing.

Revenue Recognition Memo Agent

Coming soon

Drafts ASC 606 contract memos from a signed contract PDF. Reviewer-in-the-loop, not autopilot.

  • Claude API
  • n8n
  • Pydantic

Variance Analysis Agent

Coming soon

Pulls the actuals, joins the budget, writes the commentary a CFO would actually read.

  • Claude API
  • n8n
  • SQL
04 What I'm reading and posting

Inputs

Worth reading

05 Track record

Experience

  1. 2025 to 2026

    Compugen

    Nasdaq: CGEN · Tel Aviv

    Financial Controller

    • Contributed to US GAAP reporting and ASC 606 revenue recognition for a small portfolio of high-complexity, multi-period contracts. Built independent recognition models where standard schedules failed to capture the underlying economics.
    • Cut month-end close cycle from 7 to 5 days by mapping data-collection bottlenecks and rebuilding manual reconciliation workflows. Freed 1 to 2 days of team capacity per cycle for analysis instead of data entry.
    • Partnered cross-functionally with operations and revenue stakeholders, translating close-cycle outputs into management decisions on pricing, contract structure, and forecasting.
  2. 2024 to 2025

    Ernst & Young

    High-Tech & VC-Backed · Tel Aviv

    Senior Assurance

    • Validated SaaS and ARR revenue recognition across approximately 10 VC-backed and post-IPO tech clients, combined revenue scale in the hundreds of millions. Tested ASC 606 application across multi-element arrangements, contract modifications, variable consideration, and billing-to-recognition timing.
    • Reconstructed standalone-pricing allocations for a multi-element arrangement where pricing history was undocumented. Client management adopted the proposed method, which informed downstream updates to their revenue recognition process.
    • Ran SQL and Excel-based data analytics on transaction populations of approximately tens of thousands of records per audit, surfacing reconciliation breaks between operational system data and financial reports that manual sampling would have missed.
  3. 2020 to 2022

    ANEP

    Uruguay · Team of 6

    Internal Audit Lead, Process Architect

    • Led a team of 6 auditors at a ~$2B-budget, ~85,000-employee public institution. Rebuilt audit methodology from scratch, digitized legacy workflows including the salaries audit covering 80,000+ employees, and lifted team productivity by ~50% without adding headcount.
    • Drove cultural change in a stuck organization, shifting the department from reactive compliance to proactive risk consulting.
  4. 2019 to 2020

    Grant Thornton

    Uruguay

    Financial Auditor, Retail & Consumer Markets

    • Audited high-volume retail clients, building analytical fluency in detecting cash-vs-sales reconciliation breaks and operational revenue leakage.
    • Mapped Order-to-Cash control cycles and recommended targeted process improvements to secure revenue cycle integrity.
06 Direct line

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