Ankit Kumar Mishra

Outlay

Every card you hold, reconciled every month

An expense tracker, validator and analyser for Indian credit card statements. It opens the password-protected PDF your bank emails you, checks its arithmetic, and turns a wallet of cards into one screen.

Statements arrive locked. Outlay derives the password from the cardholder profile, trying fourteen issuer patterns in a preference order, and learns a new template from any password typed once, so the next card at that issuer opens unprompted. The file is unlocked and read in memory and never written to disk.

Extraction is deterministic, with no model involved. Up to thirteen checks then run before anything is persisted, the important ones comparing computed debit and credit totals against the totals the bank printed, so a half-read statement announces itself instead of quietly skewing a year of numbers. The check record is stored with the statement.

Every account is a tenant. Name, date of birth, card digits and statement passwords are sealed with AES-256-GCM under a key derived per account, so a leak scoped to one account cannot unseal another.

The only optional model call rereads merchant names when the category rules get them wrong. A whole upload batch goes in one call, metered at two reviews per card per month with the review reserved in the database before the model is called, and what changed is shown for a glance, never as a required step.

Passwords

14 derived patterns, new ones learned

Verification

Up to 13 checks against the printed totals

Encryption

AES-256-GCM, per-account keys

Statements

Parsed in memory, never written to disk

• Next.js 16
• TypeScript
• Tailwind v4
• Postgres
• pdf.js
• Recharts
• Neon
• Vercel

Investor Copilot

Private markets, answered in plain language

A conversational assistant for private-markets investors. Ask about holdings, MOIC, DPI, RVPI, fees, capital calls, distributions, and statements in plain language.

The core design rule: the model never invents a number. OpenAI tool calling handles intent and data access, all financial math runs in a deterministic compute layer over structured ledger data, and every answer returns the source rows plus a calculation trace.

It handles multi-currency reporting (USD, GBP, EUR, AED), multi-round positions, partial capital calls, write-offs, down rounds, and partial secondaries.

A golden-number eval suite verifies the compute layer without any model calls.

Numbers

Deterministic compute layer, not the model

Auditability

Source rows plus calculation trace

Currencies

USD, GBP, EUR, AED

Testing

Golden-number eval suite

• Next.js
• TypeScript
• OpenAI tool calling
• Tailwind
• Vercel