Назар

Nazar Barchenko
AI Automation & Integration Specialist
Kyiv, Ukraine (Remote) · [відкрити контакти](див. вище в блоці «контактна інформація») · [відкрити контакти](див. вище в блоці «контактна інформація»)
github.com/barchenkoN · [відкрити контакти](див. вище в блоці «контактна інформація»)

SUMMARY

Software Engineering graduate with 3 years of C#/Unity development (commercial releases, mentoring, team leadership),
now building AI automations and integrations. My tested portfolio prototypes (Retell voice agents, n8n workflows, local-
first AI invoice review) focus on what makes automation safe to run: signed webhooks, idempotency, human-in-the-loop
approval, and explicit failure handling. I use AI coding tools to turn requirements into tested software quickly.

TECHNICAL SKILLS

AI & voice agents: Retell AI, VAPI, agent prompts and custom functions, local LLM (Qwen3), OCR
Automation & integration: n8n, REST APIs, webhooks (signing, replay protection, idempotency), JSON, data mapping,
Twilio, ERPNext
Engineering: C#/Unity (commercial); TypeScript/Node.js, Python/FastAPI (projects); Cloudflare Workers, Git, Vitest, pytest
Process & delivery: workflow mapping, task decomposition, UAT and rollout planning, technical documentation

S E L E C T E D AU TO M AT I O N P R O J E C T S Independent portfolio work, code on GitHub

Weather-aware Voice Agent TypeScript, Cloudflare Workers, Retell AI, Twilio
Retell voice agent calls a deployed Cloudflare Worker mid-conversation for live weather and queues a Twilio SMS
reminder when the forecast drops below 10 °C.
Signature verification, replay rejection, fail-closed duplicate-SMS guard; Vitest tests with mocked APIs.

Voice Call Follow-up Workflows n8n, Node.js, Retell/VAPI, mock CRM
Turns call outcomes (help requests, unanswered calls, resolutions) into human follow-up tasks with exactly-once CRM
upsert, privacy filtering, and SLA deadlines.
AI can summarize the handoff but never suppress an escalation; retries, dead-letter handling, 8 integration checks.

AI Integration Lab Python, FastAPI, pytest
Maps a business process to an AI solution: explainable catalog matching, ROI and payback, data-classification gates,
and a UAT and rollout plan with RBAC and an audit trail, exported as a Notion-ready record.

Matchbook (local-first AI invoice review) Python, FastAPI, React/TypeScript, local LLM
Extracts invoices with OCR and a local LLM, then runs deterministic three-way matching against purchase orders and
goods receipts, with source evidence.
Human approval before any ERPNext draft (sandbox adapter); no paid APIs; 31 passing automated tests.

PROFESSIONAL EXPERIENCE

Unity Developer, Twisted Bet Apr 2025 – Apr 2026
Shipped Unity applications from concept to release for desktop and mobile, working with design and backend teams.
Integrated client-side REST APIs, built UI with input validation, and debugged application behavior across platforms.

Unity Mentor, GoITeens Dec 2024 – Dec 2025
Taught Unity/C# and maintainable code to 20+ students; reviewed projects and gave technical feedback.

Unity Developer → Team Lead, Palianytsia Foundation May 2023 – May 2024
Promoted to lead an educational project: recruited contributors, broke scope into tasks, ran boards and meetings, and
documented team and mentor workflows.

E D U C AT I O N

Bachelor's degree in Software Engineering 2022 – 2026
State University of Information and Communication Technologies (SUICT), Kyiv

L A N G UA G E S

Ukrainian: Native · English: Intermediate, strong written communication