Leonid

Automation AI Engineer (n8n, JavaScript, Python), Full-Stack Developer, 45 000 грн

Розглядає посади:
Automation AI Engineer (n8n, JavaScript, Python), Full-Stack Developer, Automation engineer, Python Developer
Вид зайнятості:
повна
Вік:
34 роки
Місто проживання:
Львів
Готовий працювати:
Дистанційно, Львів

Контактна інформація

Шукач вказав: ТелефонЕл. поштуLinkedInМесенджер

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

Досвід роботи

AI Automation Engineer

з 08.2026 по нині (2 місяці)
Self-employed, Дистанційно (IT)

Independent AI engineering projects (document extraction, tool-calling agents, and RAG), built and evaluated end to end. Every project ships with its own evaluation harness, so the numbers below are measured, not estimated.

- Doc to CRM: reads invoices and delivery notes (PDFs or phone photos) into ledger entries, with a review UI for whatever it is unsure about. On 40 documents: 90% fully correct (100% on PDFs, 60% on difficult photos). Human-review routing reaches 88.9% recall with zero false alarms and caught all 5 planted mismatches. Key finding is negative: the model's self-reported confidence was 1.00 on 36 of 40 documents, including ones it got wrong, so routing is driven by cross-checks instead.
- Inbox Agent: a tool-calling agent that triages a queue and stops before anything irreversible. Across 8 evaluation scenarios it picked the correct first tool every time and attempted 6 irreversible actions: 5 were surfaced for human confirmation, 1 was rejected by argument validation, none executed unattended.
- KB RAG Assistant: retrieval-augmented assistant over a private knowledge base, deployed and publicly reachable.

Tech Stack: Python, FastAPI, Pydantic, pytest, Google Gemini, RAG, Docker, Hugging Face Spaces, GitHub Actions.

Automation AI Engineer (n8n/JavaScript/Python) | Full-Stack Developer

з 06.2025 по 07.2026 (1 рік 2 місяці)
Hajus AG, Дистанційно (IT)

Built automation, integrations, and self-hosted Python infrastructure for pan-European e-commerce operations.

- Designed and maintained 350+ workflows in n8n.io and Windmill across 11+ marketplaces (Bol.com, eBay, Mirakl, OBI/VTEX, Metro DE, Praktiker.de, Pigu, Aukro, Okazii)
- Built 5+ production Python micro-services on Coolify (FastAPI/Flask + Playwright + Docker): marketplace publishing, stock sync, UI automation with TOTP 2FA; health-checks, cron, memory limits, GitHub auto-deploy
- Integrated Odoo (JSON-RPC) ↔ Bitrix24 ↔ marketplace APIs into a unified pipeline for orders, invoicing, and delivery confirmation
- Built Pricing Intelligence System: detects negative-margin products, fetches competitor prices via SerpAPI, auto-updates prices with custom JS algorithm
- Developed eBay ↔ Odoo messaging: auto-fetch buyer messages, create support tickets, reply back to eBay
- Implemented AI categorization and content generation (OpenAI, Gemini, xAI Grok incl. Vision) with structured output and fallback chains
- Architected AWS image pipeline (S3 + CloudFront + Thumbor), cut hosting costs by 70%; Bitrix24 error monitoring improved reliability by 40% and cut manual processing time by 60%

Tech Stack: n8n.io, Windmill, Python, JavaScript, FastAPI, Flask, Playwright, Docker, Coolify, Odoo (JSON-RPC), Bitrix24, VTEX, Metro DE, eBay, Mirakl, AWS, OpenAI, Gemini, xAI Grok (Vision), SerpAPI

Front-End Developer (internship)

з 11.2023 по 11.2024 (1 рік)
SoftServe, Львів (IT)

- Participated in a volunteer project, gaining hands-on experience with new technologies and delivering projects under tight deadlines.
- Developed user-friendly web applications using HTML, SCSS, and React.js, with backend development in Node.js.
- Managed project version control via Git and automated workflows with GitHub Actions, ensuring seamless collaboration.
- Ensured code quality with SonarQube and performed unit testing using Jasmine, Jest, and React Testing Library.
- Key technologies: SCSS, React.js, Node.js, MongoDB, Git, GitHub, SonarQube, Jasmine, Jest.

Project Engineer

з 06.2016 по 10.2022 (6 років 5 місяців)
Eco -Techgroup, Львів (Будівництво, архітектура, дизайн інтер'єру)

- Led end-to-end management of engineering projects, including cross-functional team collaboration, site visits, documentation review, and compliance assurance.
- Efficiently handled procurement, budget monitoring, and client/stakeholder communication, ensuring project success and satisfaction.
- Dedicated time to creating drawings, generating business offers, and maintaining communication with clients.

Освіта

European University

Computer Science (with Honors), Львів
Вища, з 2022 по 2023 (1 рік)

I completed a Master's program in Computer Science at the European University, solidifying my theoretical foundation and complementing my practical experience gained through various IT-related projects.

Lviv National Environmental University

Energy and Electrical Engineering Systems, Львів
Вища, з 2009 по 2016 (7 років)

Додаткова освіта та сертифікати

10/2022-12/2023
Сертифікат

2024, травень
Сертифікат

грудень 2023 - лютий 2024
Сертифікат

2026, серпень
Сертифікат

2026, серпень
Сертифікат

2026, липень
Сертифікат

2026, липень
Сертифікат

2026, липень
Сертифікат

2026, липень
Сертифікат

2026, червень
Сертифікат

Знання і навички

  • Стресостійкість
  • HTML
  • JavaScript
  • SASS
  • GitHub
  • TypeScript
  • Bootstrap
  • Redux
  • React
  • CSS
  • Node.js
  • Figma
  • WordPress
  • Git
  • JQuery
  • Webpack
  • Gulp
  • AI integration
  • GenAI
  • FastAPI
  • Docker
  • Python
  • N8n
  • SQL
  • REST API
  • PostgreSQL
  • AWS IAM
  • Playwright
  • AWS

Знання мов

  • Англійська — вище середнього
  • Українська — вільно

Додаткова інформація

Portfolio: https://portfolio-shamarin-leonid.vercel.app
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub: https://github.com/LeonidShamarin

Automation AI Engineer with production experience in workflow automation, e-commerce integration and self-hosted Python services. Over the past year built 350+ n8n/Windmill workflows and 5+ FastAPI/Flask micro-services for a pan-European multi-brand retailer, with integrations across 11+ marketplaces, cutting image hosting costs by 70%, manual processing time by 60% and improving reliability by 40%.

Now building and evaluating AI systems end to end: document extraction (90% fully correct on 40 real documents, human-review routing at 88.9% recall with zero false alarms), tool-calling agents that stop before irreversible actions, and RAG over private knowledge bases.

Comfortable across the stack: Python backends (FastAPI/Flask), DevOps (Docker, Coolify, Hetzner, Cloudflare, GitHub Actions) and frontend (React, Angular, TypeScript).

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