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Aleksei Orlov

LLM features that survive production — retrieval, tool calling, structured outputs — shipped end to end on React and FastAPI

Open to worldwide remote AI product engineering roles

Languages: Russian — Native · English — IELTS Academic 7.5 (C1)

Email · Telegram · LinkedIn · GitHub · Website

GitHub stats Top languages

Why Me

  • AI Reliability: Structured outputs with schema validation, tool calling that handles partial failure, async orchestration and streaming that survives reconnects
  • Full Product Surface: I ship the React interface and the FastAPI service behind it, so AI features do not stall on a backend handoff
  • Legacy Frontend Migration: Angular and Svelte to React in production, without freezing feature delivery

Current Focus

At T-Bank I ship product work on an internal LLM assistant used by 38,000+ employees, moving already built logic from Svelte to React while feature delivery keeps running, and I own the FastAPI services behind the interfaces I build

Flagship Internal Work

Image Generation Platform UI

Internal web application for an AI image-generation platform used by designers who needed a practical interface for day-to-day creative work. The product provided board-based organization, editing workflows, and async task management on top of a company-wide generation API

Reach: 1,000+ internal users.

  • Built and evolved a board-based workspace where designers organized generations into project spaces instead of a flat task list
  • Implemented drag-and-drop between boards, image reactions, and editing flows for multiple generation modes
  • Designed a priority-queue polling model on the frontend to schedule status checks for asynchronous generation tasks without aggressive polling

Internal AI Assistant

Company-wide internal LLM assistant used by 38,000+ employees. The product is built on a mixed Svelte and React frontend with a FastAPI backend and is progressively moving toward a React-first architecture without pausing feature delivery

Reach: 38,000+ employees.

  • Worked in a mixed frontend stack, helping move product logic into React-owned areas while maintaining the existing Svelte surface
  • Shipped product features and supporting backend fixes in parallel with migration work instead of treating them as separate tracks
  • Helped establish stricter frontend quality rails around new React code while the product still carried legacy surface area

Selected Public Work

  • StudHack — Platform for hackathon teams, events, and career communities with user profiles, team workflows, notifications, and Dockerized UI/API delivery
  • FastAPI MVP — A reusable FastAPI bootstrap package with Mongo and S3 helpers, metrics, and stricter environment management for new service setup
  • OpenAI Async Functions — Async Python library for OpenAI-compatible tool calling, with Pydantic request and response models, runtime tool registration, and structured output helpers
  • lint-gost-tex — CLI linter for LaTeX documents against GOST-style formatting rules, with checks for references, lists, captions, forbidden abbreviations, Unicode, and RU/EN spelling

Contact

If you are hiring for AI product engineering, LLM reliability work, or React and FastAPI product delivery, the fastest way to reach me is by email, Telegram, or LinkedIn.

Pinned Loading

  1. labtrack labtrack Public

    Reference implementation of a TypeScript backend. Modular NestJS API, a runtime-validated API client, and a CLI.

    TypeScript

  2. studhack studhack Public

    Платформа для поиска команд, разработчиков и карьерных мероприятий в хакатон-экосистеме

    TypeScript 2

  3. studiogalaxy studiogalaxy Public

    Cтудия звукозаписи "Галактика" | Лендинг и API для обработки заказов через Telegram

    TypeScript

  4. fastapi-mvp fastapi-mvp Public

    FastAPI app with minimal boilerplate

    Python

  5. simple-openai-proxy simple-openai-proxy Public

    OpenAI Proxy & Async Functions library

    Python

  6. lint-gost-tex lint-gost-tex Public

    Линтер LaTeX‑документов под требования ГОСТ: проверяет оформление ссылок, списков, иллюстраций, запрещённые сокращения, нестандартные символы и орфографию.

    Python 1