# Albert Akhmadiev: full profile Source: https://albanode.com (machine-readable twin: https://albanode.com/api/profile.json). Updated 2026-10-18. ## Identity - Name: Albert Akhmadiev (pronounced AL-bert akh-mah-DEE-yev) - Title: Team Lead who builds features with AI agents - Company: T-Bank (formerly Tinkoff), a top-3 Russian bank by app downloads - Based in: Yerevan, Armenia - Languages: Russian (native); English (B2, professional working proficiency) - Open to: conversations about engineering leadership, iOS and AI-first teams; on-site, hybrid or fully remote, including relocation ## Summary Albert is an engineering Team Lead at T-Bank who builds features with AI agents. He leads 15 direct reports across iOS, Android, backend, frontend and business analysis; the team builds B2B fintech products inside T-Business, an ecosystem for sole proprietors and companies used by 500K+ people. He joined T-Bank as an iOS intern in 2021, grew to Senior iOS and lead engineer of the Fuel Payment app, and has led a team since 2023. He stays hands-on through architecture, code review, AI-assisted implementation and targeted production work. On the side he builds his own products, including ByteFit, an AI calorie tracker with 2,000+ users, and he is a first-year PhD student at Innopolis University. ## How he builds with AI "AI does the typing. I own the outcome." Most engineers use AI as autocomplete; Albert builds systems where agents do the building, and people set the direction and judge the result. 1. Agents, not autocomplete: Codex, Claude Code and corporate AI agents every day for implementation, tests, review and routine automation. He sets the direction and validates the results. 2. Loops with quality gates: agents write, test, review and fix in a loop and stop only when every gate is green (the build, the tests, an agent review and his own check). 3. His own harness: spec-driven workflows, agent harnesses, graph-based orchestration and n8n pipelines for implementation, code review, backlog triage and releases. 4. Proven in production: a product-aware Fuel AI agent built on MCP at T-Bank; ByteFit and six more apps built with agents; this website, written and tested by agents. ## Selected work ### Agent-driven delivery (T-Bank, 2024 - present) Started agentic development in his department. 10+ teams reuse his AI tools, agent skills and workflows; engineers, technologists, analysts and colleagues without a coding background ship end-to-end changes across the stack. Built a product-aware Fuel AI agent whose MCP tools give coding agents product context and let it investigate support questions. ### Fuel Payment (T-Bank, 2022 - present) A standalone iOS app that lets fleet drivers pay for fuel from a company account. Lead iOS engineer from an empty repository to production: Swift architecture, CI/CD, partner APIs, UX, payment flow, releases and support; gRPC and WebSockets. 2,000+ corporate clients. ### ByteFit (own product, 2023 - present) An AI calorie tracker: snap, describe or dictate a meal and AI estimates calories and macros. Native iOS app (ByteFit: AI Calorie Tracker), Telegram bot @bytefit_bot with a Mini App, and a web app at bytefit.ru. 2,000+ users and 100+ paying users. First version built solo in one month with AI agents writing the code. Stack: Swift, Python, FastAPI, PostgreSQL, Docker, Nginx. ### iOS monorepo (T-Bank, 2023) Led the move of 10+ iOS repositories into one modular monorepo, with release on every merge, TDD and automated tests. The release cycle went from 7 days to 1 day. ### Tech Radar (T-Bank, 2024 - present) Co-created and developed a dependency radar for every stack in the B2B department with three statuses: current, update soon, update urgently. The practice later scaled across T-Bank. ### Seven apps on the App Store ByteFit (AI calorie tracker), Game Night (31 offline party games on one phone), CleanShot (daily photo cleanup, on device), Crowns (daily logic puzzle), Bloom Blocks (cozy block puzzle), Буквоплёт (word game, in Russian) and Мой пёс (dog-care log, in Russian). Developer page: https://apps.apple.com/developer/albert-akhmadiev/id1894708782 ### Talk: AI at work (June 2024) "How AI makes a mobile developer's life easier", a T-Bank mobile meetup talk, about 20 minutes, in Russian: https://www.youtube.com/watch?v=f44ieup68RY ## Experience ### T-Bank (formerly Tinkoff), March 2021 - present - 2025 - present: Cross-Platform Team Lead, Fuel. 15 direct reports across iOS, Android, backend, frontend and business analysis; hiring, reviews, promotions and growth; technical direction, architecture and code review. - 2024 - present: AI-driven development. Internal AI assistants, agent skills, backlog and release automation, adopted by 10+ teams; since 2025 a product-aware Fuel agent on MCP. - May 2023 - present: Team Lead (initially acting). Hired and onboarded 10 engineers, mentored 10+ interns and juniors, helped engineers grow to Middle+ and Senior; co-created the Tech Radar. - 2023: iOS monorepo migration lead. 10+ repositories into one; releases from 7 days to 1. - 2022 - present: Lead iOS Engineer, Fuel Payment. Empty repo to production and 2,000+ corporate clients. - 2021 - 2023: iOS Intern to Senior iOS Engineer, T-Business. Lead iOS developer on Business Cards, Deposits and Traffic Fines; worked on Business Dashboard. ### ByteFit and independent apps, 2023 - present Founder and engineer: product, design, iOS, backend, DevOps and support for ByteFit and six more App Store apps, built with AI agents. ## Education - PhD student, Mathematical Modeling (1.2.2), Innopolis University, 2026 - present (first year). Supervisor: Prof. Giancarlo Succi. Research direction: how AI assistants and human partners change developers' cognitive load and effectiveness across the software lifecycle. - M.Sc. in Computer Science and Engineering, Innopolis University, 2024 - 2026 (taught in English). - B.Sc. in Software Engineering, Kazan Federal University, 2019 - 2023. ## Skills - AI engineering: coding agents (Codex, Claude Code), MCP, spec-driven development, agent harnesses, graph-based orchestration, n8n, LLM tooling - iOS: Swift, SwiftUI, UIKit, Combine, Swift Concurrency, Objective-C, TCA, gRPC, WebSockets, REST, GraphQL, Core Data, SPM, CocoaPods - Architecture and quality: modular monorepos, Clean Architecture, MVVM, VIPER, MVI, TDD, unit, UI and snapshot tests - Delivery: CI/CD, Fastlane, GitHub Actions, TestFlight, App Store Connect API, release on merge - Backend for his own products: Python, FastAPI, PostgreSQL, Docker, Nginx, Linux - Leadership: hiring and onboarding, performance and promotions, mentoring, Tech Radar, Kanban, AI adoption ## Beyond work Football with friends, volleyball, tennis, the gym and running. A dog person. Runs his whole life in a plain-text system that AI agents help keep in order. ## Contact - Email: a.akhmadiev.vll@gmail.com - LinkedIn: https://www.linkedin.com/in/albert-ahmadiev-18aaa5352/ - App Store: https://apps.apple.com/developer/albert-akhmadiev/id1894708782 - ByteFit: https://bytefit.ru/en/ - Résumé (PDF): https://albanode.com/assets/Albert_Akhmadiev_Resume.pdf