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Maksym

AI Integration Engineer

Considering positions:
AI Integration Engineer, QA engineer, Automation engineer
Age:
27 years
City of residence:
Mykolaiv
Ready to work:
Remote

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MAX BADYULA
AI & Automation Engineer | AI Agents · n8n · LLM Integrations
Mykolaiv, Ukraine · [open contact info](look above in the "contact info" section) · [open contact info](look above in the "contact info" section)
LinkedIn: [open contact info](look above in the "contact info" section) · GitHub: github.com/VETERAN1945

PROFESSIONAL SUMMARY
AI & Automation Engineer focused on building production-grade AI agents and LLM-powered workflows for
real business tasks in marketing and support. Designs autonomous, tool-calling agents from scratch (n8n AI
Agent, OpenAI & Claude APIs) — defining their tools, system prompts and decision logic for fast MVP
delivery. Backed by a Software Engineering degree and a solid foundation in REST API architecture, SQL
and end-to-end testing, which I apply to make automations reliable, error-resilient and well-documented.

CORE COMPETENCIES
AI & Agents: AI agents (tool-calling, autonomous multi-step workflows), MVP prototyping, system-prompt &
prompt design, LLM data parsing, structuring and validation
LLM APIs: OpenAI API, Claude API, Groq
Automation & Low-Code: n8n (AI Agent node, visual workflows, webhook triggers, HTTP Request nodes,
multi-branch logic), Make.com, Zapier
APIs & Protocols: REST API, Webhooks, JSON, HTTP/HTTPS
Databases: SQL, PostgreSQL, MySQL (joins, subqueries, data extraction)
Languages & Scripting: JavaScript (custom functions in n8n), Python (fundamentals), basic TypeScript,
Bash
Testing: Playwright (E2E testing), Postman (API testing automation, JS assertions, Collection Runner)
Infrastructure: Linux/Ubuntu (CLI, SSH, file system navigation), Git/GitHub
Languages: English (B1+ — technical documentation), Ukrainian (native), Russian (native)

AI AGENT PROJECTS
Affiliate Partner Support Agentn8n · LLM · tool-calling
•​ Built an autonomous AI agent that handles incoming partner (webmaster) messages and decides, per
message, which tool to call — payout database, tracking-link checker, or offers list — using LLM
tool-calling instead of a fixed flow.
•​ Designed the agent from scratch: defined its tools and their descriptions, wrote the system prompt, and
added conversation memory for multi-turn context.
•​ Integrated a chat model (Groq/OpenAI) with a data layer built on Google Sheets and HTTP Request
nodes.
•​ Repo: github.com/VETERAN1945/ai-agent-affiliate-support
Campaign Diagnostics Agentn8n · LLM · reasoning loop
•​ Built an AI agent that investigates drops in campaign performance through a reasoning loop: it pulls
campaign stats, then chooses what to check next (landing-page availability, payout-history changes)
based on intermediate results, and reports the most likely root cause.
•​ Implemented multi-tool orchestration where the investigation path is selected by the model at runtime
rather than hard-coded, demonstrating true agentic behaviour vs. a linear pipeline.
•​ Repo: github.com/VETERAN1945/ai-agent-campaign-diagnostics

AUTOMATION & LLM WORKFLOWS
AI-Driven Workflow Automationn8n & LLM Integrations
•​ Built multi-step self-hosted n8n workflows using Webhooks and HTTP Request nodes to parse raw
incoming data.
•​ Integrated Claude and OpenAI APIs to extract key parameters and map them into clean, validated JSON
structures.
•​ Designed error-handling branches and Telegram/Slack alert triggers for reliability and instant incident
reporting; synced real-time data between webhooks and target systems (Google Sheets, SQL).
SEO Automation, Web Scraping & API Monitoringn8n
•​ Built scheduled n8n pipelines for SEO data collection, news scraping, and automated REST API health
monitoring with alerting and structured output.
•​ Repos: github.com/VETERAN1945?tab=repositories

TESTING & QA (SUPPORTING)
Web Automation Framework (Playwright)
•​ Developed a scalable E2E web automation testing framework with dynamic locators and robust
assertions to validate critical user paths and UI elements.
API Testing Automation (Postman)
•​ Created automated test suites for REST API endpoints (GET, POST, PUT, DELETE) with pre-request
scripts, environment variables and JavaScript assertions; ran batch executions via Collection Runner.

CERTIFICATIONS
•​ Python Fundamentals — SoftServe Academy (December 2024)
•​ Database Fundamentals — SoftServe Academy (October 2024)
•​ Linux & Networks Fundamentals — SoftServe Academy (June 2024)

EDUCATION
Junior Specialist in Software EngineeringMykolaiv Building Professional College of KNUCA (2016–2020)
Relevant coursework: SDLC, SQL & database design, system analysis, algorithms, software testing.

WORK EXPERIENCE
Equipment Operator — Pivden Bud2018–2024
•​ Executed precise technical checklists and isolation protocols, building a rigorous root-cause and quality
mindset later applied to debugging and testing.
•​ Diagnosed complex equipment malfunctions through systematic troubleshooting; maintained detailed
incident logs and reports — a baseline for structured documentation and runbooks.
•​ Transitioned into IT through dedicated self-study while in full-time employment.

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