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Vibecoder

Розглядає посади:
Vibecoder, Python-програміст, Back-end програміст, Fullstack-розробник, Full-stack програміст, Backend-програміст
Вік:
22 роки
Місто проживання:
Одеса
Готовий працювати:
Дистанційно, Одеса

Контактна інформація

Шукач вказав: ТелефонЕл. поштуМесенджер

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

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Serhii Voitov
AI-Native Full-Stack Developer

Odesa, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | LinkedIn | GitHub

Open to remote work worldwide.

S U M M A RY

AI-native full-stack developer. I build with AI across the whole cycle: I use Claude Code and Gemini every day to plan,
write, test and ship, and I review and understand what I commit instead of copy-pasting. Strong engineering base
underneath: async Python (FastAPI), React + TypeScript, automated tests and CI. Around 6 months of hands-on
project experience and a Computer Engineering master's background. Looking for my first commercial role.

HOW I WORK WITH AI

I use AI on the full development cycle, but I stay the engineer who owns the result.

Main tools: Claude Code (daily driver) and Cursor; Google Gemini API for LLM features in my own apps.

Delegate and verify: I break a task into steps, prompt the AI in iterations, then run the code and check it before I commit. I
do not ship what I have not verified.

Claude Code skills I use most: brainstorming, multi-agent workflows, writing-plans (spec-first), systematic-debugging.

MCP integrations: Figma MCP for a web app design flow, n8n MCP for an automation pipeline.

Where AI fails: it invents methods, skips edge cases, and says "it works" without tests. So I keep engineering standards
(tests, CI, validation) on top of the speed.

EXPERIENCE

Full-Stack & AI Developer - Personal & Team Projects Jan 2026 - Present (~6 months)

DigiShop - full-stack store for digital goods with a complete payment cycle. FastAPI + async SQLAlchemy +
PostgreSQL; Redis for caching, rate limiting and as the message broker; Celery (worker + beat) for async order delivery
and stale-order cleanup; Stripe Checkout with signature-verified webhooks and idempotent payment processing; JWT
+ Google OAuth. React 18 + TypeScript (Vite, Zustand, TanStack Query, Tailwind). 134 tests (pytest + Vitest, TDD),
Alembic migrations, 5-service docker-compose, GitHub Actions CI. Verified end-to-end on real Stripe test payments.
Repo

Mail GenAIrator - full-stack AI web app that generates emails from a topic, tone and length. Next.js + React + TypeScript
+ Tailwind + shadcn/ui, Supabase, Gemini, deployed on Vercel. Added mock mode, rate-limit fallback, full error handling
and validation. Live: mail-genairator.vercel.app

Telegram Task Scheduler Bot - multi-user bot where an LLM (Gemini API) parses free text into structured tasks (strict
JSON, validation, retries). Async Python (aiogram 3, SQLAlchemy async, PostgreSQL), APScheduler. 86 tests (pytest,
TDD); deployed on a Linux VM as a systemd service with CI.

Data-collection pipeline - Python, Docker, PostgreSQL. Collects data from public APIs by profiles, dedupes via MD5 +
perceptual hashing, with a moderation panel and auto-publishing. Explored n8n (with MCP), then moved the logic to
Python.

LoLAnalitik (team, Backend Developer) - backend for an ML game-analysis tool. Built a TTL/LRU cache that cut
external API load 3×; nearest-position lookup with scipy cKDTree at O(log n). First team project with shared codebase
and code reviews.

E D U C AT I O N

Master's - Computer Engineering (IT) | ONTU, Odesa Sep 2025 - Present

Bachelor's - Game Development & Interactive Media (VR) | ONTU, Odesa Sep 2021 - Jun 2025

C E R T I F I C AT I O N S

Claude Code 101 - Anthropic | May 2026

Claude Code in Action - Anthropic | April 2026

TECHNICAL SKILLS

AI-native workflow: Claude Code, Cursor, Google Gemini API, prompt engineering, context management, LLM integration,
structured outputs, MCP (Figma, n8n), multi-agent task splitting

Languages: Python, JavaScript, TypeScript, C# (OOP), SQL

Backend / API: FastAPI, aiogram 3, REST API, Pydantic v2, SQLAlchemy (async), Alembic, Celery, pytest, TDD

Frontend: React 18, Next.js (App Router), TypeScript, Vite, Zustand, TanStack Query, Tailwind CSS, shadcn/ui, Vitest

Databases: PostgreSQL, Redis, Supabase, SQLite

Payments / Auth: Stripe API (Checkout, webhooks, idempotency), JWT, OAuth 2.0 (Google)

DevOps: Docker, docker-compose (multi-service), GitHub Actions (CI), Vercel, systemd, Linux, Oracle Cloud

Algorithms & Data: graph algorithms (DFS, cycle detection), spatial indexing (scipy cKDTree), TTL/LRU caching, web
scraping (Playwright)

Tools: Git, GitHub, GitLab, VS Code, Figma

LANGUAGES

Ukrainian - Native
Russian - Native
English - Intermediate (B1)

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