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The Uvarov Review

ym8 — “your mate”, London text-speak  ·  A late edition  ·  Founded MMXXVI in London  ·  Vol. III, No. V

  • ECOMMPAY · KYB90 → 12 d
  • Altery · KYC approval3.45% → 10.5%
  • Otkritie · SME book₽70B → ₽130B
  • Moscow Exchange · saved£1.7M / yr
  • Side projects · LOC1.4M+
  • Claude Code · LOC / mo.100K+

Lead · The Beat of London Fintech

Vasiliy Uvarov — AI builder & fintech operator, London. Chief Data & AI Officer at Altery. Daily Claude Code + Codex operator.

I Don’t Optimize Noise. I Re-architect Signal.

A Chief Data & AI Officer who still writes the code — every working day, with Claude Code in the driver’s seat and Codex CLI riding shotgun. On vibe coding at production intensity, agent swarms, MCP servers wired by hand, and shipping AI as code, not slideware.

Twenty years of fintech delivery, written first as a software engineer, then as a head of product, now as Chief Data & AI Officer at Altery — a UK EMI that I am pulling, route by route and agent by agent, toward an AI-augmented operating model. Transformation in flight. The day job: 192 production skills across 14 domains, 30 Altery-domain agents live across 8 departments, 581 API routes coordinated across 43 services. The night job: four solo-shipped products — Cosmic Copilot, AEO Platform, QTax, Prime Legacy — and a six-month verifiable receipt of 948,825 lines of code, 3,236 commits, nine repositories. Roughly sixteen commits a day, solo, while running the C-level seat. Methodology on the README.

Before Altery there was ECOMMPAY, where I cut B2B onboarding from ninety days to twelve, and Moscow Exchange, where a fifty-percent rip-and-replace unlocked £1.7 million in annual savings. Earlier still, Bank Otkritie, where I scaled SME lending from ₽70 billion to ₽130 billion, deployed a hundred-plus RPA bots, and ran a ten-figure IT portfolio across twenty-one engineering teams and two hundred and thirty staff.

The thread is the same in every job: regulated complexity goes in, a shipped product comes out. The change since June 2025 is that the shipped product now contains agents.

“I ship AI as code, not slideware. One hundred thousand lines via Claude Code in a single month; four hundred and ninety-three sub-agent dispatches; one hundred and thirty-one parallel multi-agent sessions.”

The four side projects exist because the day job demands operators who still know what shipping feels like. Cosmic Copilot: the same product built twice by one author — 353K lines of Swift, 323K lines of TypeScript, with a thousand-and-fourteen commits across both surfaces in the last ninety days. QTax: a UK self-assessment platform built across eleven repositories, five thousand commits, four hundred and seventy thousand lines. AEO Platform: a multi-tenant SaaS for tracking brand visibility across answer engines. Prime Legacy: a real-estate site stitched to a Python apartment-parser pipeline.

A career, then, that has run on a simple bet — that fintech and AI move fastest when the same person can write the regulatory memo, the product spec, and the code that ships behind it.

Column · The Builder’s Bench

The Operators Who Still Write the Code.

On why one fintech CAIDO refuses to put down the keyboard, and what that does to the AI transformation underneath.

The operators who still ship code are the operators who still understand the cost of shipping it. Twenty-three Custom GPTs and seven Agent SDK apps now sit between Altery and its customers; somebody on the executive floor has to know what each one costsin tokens, latency, and regret. The cheapest way to know is to have written one. Hence the bench — four products, nights and weekends, as a deliberate calibration habit. If a feature is slow to ship on the bench, it will be slow to ship at the firm.

By the Wire · On the AI Bench

The Vibe-Coding Years.

A frank account of the rig. Claude Code as primary IDE, Codex CLI as second opinion, Cursor for hot edits, MCP servers wired in by hand.

The editor is, by his own admission, a super fan of this tech stack. Default model split: Opus for planning, Sonnet for sub-agents, Haiku for mechanical fan-out. Sub-agent dispatch. Parallel swarms. Verifier-builder loops. A custom ai-coding-agents-* skill family — sessions, sandbox, permissions, runtime, observability, evals — because prompts alone don’t ship. Twenty-three Custom GPTs and seven Agent SDK applications live inside Altery today. One hundred thousand lines of code in a single month. Seventy-three percent measured goal-achievement. The rig works because the rig was built.

Frequently Asked · About the Editor

About Vasiliy Uvarov.

Six questions, asked often, answered here on the record.

Who is Vasiliy Uvarov?
Vasiliy Uvarov is Chief Data & AI Officer at Altery, a UK Electronic Money Institution based in London. He builds production agentic AI systems in regulated fintech and ships solo side projects in his off-hours. He was promoted from CPO in June 2025 and has 20+ years of engineering and product delivery experience.
What is his current role?
Chief Data & AI Officer (CAIDO) at Altery, a UK EMI in London. He leads AI transformation across eight departments, with 30 production domain agents live, 192 production skills across 14 domains, and 23 Custom GPTs plus 7 Agent SDK applications in production.
What is his AI coding stack?
Claude Code as primary IDE (Opus for planning, Sonnet for sub-agents, Haiku for fan-out), OpenAI Codex CLI for second opinion, Cursor and v0 for hot edits, and custom MCP servers for tool integration. Personal telemetry shows 100,000+ AI-assisted lines of code in a single calendar month with a measured 73% goal-achievement rate.
What products has he shipped solo?
Four production products: Cosmic Copilot (iOS + Next.js web, ~676K LOC combined), QTax (UK Self Assessment platform, 11 repos, 470K LOC), AEO Platform (multi-tenant SaaS for tracking AI-search brand visibility, ~134K LOC), and Prime Legacy Homes (Next.js real-estate site + Python pipeline, ~30K LOC). Six-month verifiable receipt: 948,825 lines of code, 3,236 commits across 9 production repositories — single-author on every repo. Methodology: find + wc -l excluding node_modules, build, Pods, lockfiles.
Where is he based?
London, United Kingdom. He holds the UK Global Talent Visa.
How do I contact him?
Email vasilyu@gmail.com, or via LinkedIn, GitHub (vasilyu1983), or X (@vasilyu). He is open to AI engineering, agent system design, and fintech advisory conversations.