• Файл

Vitalii Ветеран

Automation engineer

Вік:
28 років
Місто проживання:
Київ
Готовий працювати:
Дистанційно

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.

Завантажений файл

Версія для швидкого перегляду

Це резюме розміщено у вигляді файлу. Ця версія для швидкого перегляду може бути гіршою за оригінал резюме.

Vitalii Maslii
Automation & AI Systems Engineer
[відкрити контакти](див. вище в блоці «контактна інформація») / t.me/vitaliymasliy / [відкрити контакти](див. вище в блоці «контактна інформація»)
github.com/Monsteroo / vitaliimaslii.com / Ukraine, EET (UTC+2) / remote only

SUMMARY
Self-directed automation and AI engineer. I take systems from architecture to live deployment, with monitoring, health checks and self-
healing restart included. I work on a commercial basis: a live GoHighLevel CRM automation suite for a paying client, and a trading system
running real capital on Binance. Every system below is deployed and monitored, not a sandbox demo — each has real uptime, real
failure modes, and real fixes behind it. Daily hands-on work with Claude Code on production code is my strongest skill and the foundation of
every project here.
SKILLS
AI-native development Claude Code (daily driver, production code every day), Antigravity (hands-on), Cursor (familiar), rapid test-driven AI-native
builds & critical review of AI-generated code
AI & LLM integration Anthropic Claude, OpenAI GPT + Realtime, Google Gemini, Alibaba Qwen — all in production. Prompt engineering, multi-model
orchestration, cost optimisation, vision pipelines, AI agents
RAG & retrieval Hybrid semantic + keyword search, embeddings, vector databases (pgvector, Pinecone), reciprocal rank fusion, confidence gating,
citation validation, reproducible eval harnesses
Automation n8n at expert level (custom nodes, SDK, MCP integrations, multi-branch pipelines with human approval), GoHighLevel CRM (REST + MCP),
webhooks
Backend Python (FastAPI, Telethon, Binance API), PostgreSQL, pgvector, Pinecone, SQLite, Docker & Compose, REST API, WebSocket, pytest, Git
Infrastructure Self-hosted deployment, launchd process management, Tailscale, health-check endpoints, watchdog monitoring and alerting, log-
based diagnostics
Languages Ukrainian (native), English B1 — strong written and reading, async-first
EXPERIENCE
AI Automation & RevOps Engineer — Client Work / Contract 2026 – Present
Delivered a GoHighLevel CRM automation suite for a paying service-business client, eliminating manual follow-ups to 0.
Caught a client-facing logic defect mid-build where customers were promised a callback 30 minutes before staff were told about it.
AI Systems & Backend Engineer — Production Systems & R&D 2025 – Present
Build and operate production Python services (FastAPI, Docker, launchd, Tailscale) with health-check endpoints, watchdog alerting and self-healing
restart — not sandbox demos.
Shipped two production RAG systems with measured retrieval accuracy, 18/18 and 19/20, on reproducible eval harnesses rather than claimed
numbers.
Cut vision-AI inference cost by 70% with no change to output quality, by routing a cheap model for triage and an expensive one only where it
earned its cost.
Military Operations & Logistics Lead — Armed Forces of Ukraine 2022 – 2026
Led operational logistics and resource distribution under strict operational security and high-stress environments.
Accountable for continuous material readiness, mission-critical supply coordination, and structured execution across teams.
SYSTEMS IN PRODUCTION
P3 Trade Executor github.com/Monsteroo/p3-trade-executor 1,249 signals backtested
Binance bot trading real capital. Trend-following strategy validated on 1,249 historical signals before any execution code was written, with a watchdog
that alerts within 10 minutes if the executor goes quiet.
Python · Binance API · Telethon · launchd · n8n
GHL Docs RAG github.com/Monsteroo/ghl-docs-rag 19/20 retrieval accuracy (95%)
Hybrid RAG over 599 chunks of real GoHighLevel documentation. Pinecone dense + sparse vectors in one query, a confidence gate that answers “not
sure” below threshold, and citations verified by code rather than trusted from the model.
Python · FastAPI · Pinecone · BM25 · OpenAI embeddings · Claude
Portfolio RAG Chat vitaliimaslii.com 18/18 retrieval accuracy (100%)
Self-hosted RAG over my own case studies, live on the site. Hybrid retrieval merges pgvector cosine similarity with PostgreSQL full-text search via
reciprocal rank fusion; answers are always cited, and it declines when retrieval is weak.
Python · FastAPI · PostgreSQL · pgvector · Claude · Docker
“Tamara” Real-Estate Monitor github.com/Monsteroo/house-search-bot −70% vision AI cost, same output
Rental monitor over two sources with deduplication, real walking-distance filtering and perceptual-hash fraud detection, on a self-hosted geo stack. A
cheap model triages every photo; a stronger one only sees what earns a second opinion.
Python · FastAPI · PostgreSQL · Docker · Gemini · Claude · OSM · 22/22 tests
Voice Translation for Zoom github.com/Monsteroo/gpt-realtime-translator ~3s round-trip latency
Bidirectional real-time voice translation across three realtime AI APIs in parallel. Most of the engineering was audio, not AI: virtual routing, jitter buffers,
and a choppy-playback bug that traced to Bluetooth switching codecs mid-call.
WebSocket · PyAudio · Qwen · OpenAI Realtime · Gemini Live
CRM Automation Suite GoHighLevel · paying client 0 manual follow-ups after rollout
Production workflows for a service business: missed-call text-back that sends exactly one message to the customer while every escalation stays
internal, plus lead nurture, booking reminders and webhook-based lead capture.
GoHighLevel · Webhooks · n8n · REST API · MCP
Content Factory n8n · human-in-the-loop 34 nodes in one stateless workflow
A topic dropped into Telegram becomes a published LinkedIn post: Claude drafts bilingual copy, Gemini makes the image, a human approves with one
tap. Stateless by design, since n8n's task-runner mode will not persist workflow state.
n8n · Claude API · Gemini · LinkedIn API · Telegram Bot API
Multi-Source Aggregation Bots Python · scheduled 5+ sources in one deduplicated feed
Scrapers across X, Reddit, Telegram and niche job boards, with Claude scoring relevance and scheduling that survives a sleeping laptop. Blocked
datacentre IPs and undocumented APIs meant each source needed its own approach.
Python · Selenium · Claude · SQLite · launchd · n8n
EDUCATION
Kyiv National University of Technologies and Design · BSc & MSc, Computer Science · 2015 – 2020

Full case studies, live systems and the numbers behind them vitaliimaslii.com

Схожі кандидати

Усі схожі кандидати

Кандидати у категорії


Порівняйте свої вимоги та зарплату з вакансіями інших підприємств: