OPEN FOR NEW PROJECTS

Your team burns
30 hours a week
on work I automate

Senior AI Automation Engineer. I build n8n workflows, RAG search over your own documents and multi-agent systems that run around the clock without babysitting. Ten applications in production on my own servers, 99.9% uptime over the last 30 days. Your team stops shuffling data and starts doing work only they can.

Describe one process. Within a day I say whether it can be automated, what it takes and what it costs. No pitch, no commitment.

10 applications in production
Ukraine · Europe · Remote
Ihor Kostyniuk, Senior AI Engineer Ihor Kostyniuk, Senior AI Engineer
Ihor Kostyniuk
Senior AI Engineer · LLM agents, MCP, RAG, Voice AI
10+
Apps in production
2.5y+
Experience
24h
Response
WHAT I DO

Services that actually move the needle

What you get, how it runs and what it costs. The projects behind it are in the next section.

Workflow Automation

Your systems exchange data on their own. Built on n8n, running on your server or mine, with monitoring wired in: a broken flow raises an alert instead of going quiet.

  • n8n on your server or on mine
  • 400+ ready integrations, the rest over API
  • Uptime monitoring and failure alerts
from $300

AI Agents & RAG

An agent that answers from your documents, not from the internet. Search over your own knowledge base, calls to your own tools, answers checked by a judge model before they reach anyone.

  • Qdrant or pgvector over your knowledge base
  • Tool calling and custom MCP servers
  • Several providers with automatic fallback
from $500

Hiring & ATS

Screening stops being a manual step. Vacancies and candidates arrive on their own, CVs are parsed, fit is scored, the technical interview is generated.

  • Job collection across 17 boards
  • CV parsing and fit scoring
  • EU AI Act: DPIA, DSAR, human in the loop, bias monitoring
from $400

SaaS & Custom Apps

The whole product: web, Android, desktop and the server under them. Multi-tenant with data isolation, auth, billing, over-the-air updates.

  • Next.js + Supabase, RLS on every table
  • Native Android (Kotlin) and desktop (Tauri)
  • Docker, monitoring, nightly backups
from $800
REAL PROJECTS

Cases that speak for themselves

Every number below comes from my CV, which is open in full.

Check it against the CV
Client · since 2026

Generative video pipeline

Consolidated production into 6 reusable pipeline skeletons and grew it from 3 to 12 client channels. Renders run for hours per job: checkpointed state so any stage resumes after a crash, retry with backoff, circuit breakers around each provider. Then handed rendering over to the clients — bundled installer, deploy keys, one-click update — so they run it on their own hardware.

3→12
Channels
$22-30
Per film
~235
Scenes each
Client · since 2024

AI support across 7 channels

WhatsApp, Telegram, Viber, Instagram, Facebook, web and email all reach one agent. RAG is separate per tenant. Cleared Meta App Review for production messaging permissions. The site widget speaks the host page's language, is screen-reader accessible, and writes a visitor who leaves a phone number straight into the CRM.

7
Channels
Meta
App Review
RAG
Per tenant
Client · recruiting

Recruiting CRM under the EU AI Act

Multi-tenant CRM: 33 migrations, RLS on every table, a subdomain per workspace, around 20 AI tasks including CV parsing, few-shot-calibrated ATS scoring and outreach generation, fed by a 17-source scraping pipeline. Compliance built in: DPIA and DPA templates, self-serve DSAR export and erasure, human score overrides with an audit trail, a bias-monitoring dashboard.

17
Job sources
~20
AI tasks
86+
Security tests
Client · 2025–2026

Documents and operations

Audited four business functions — procurement, accounting, legal, recruitment — turned the bottlenecks into implementation specs, then built the systems those specs described. Contracts and reports are assembled from templates with docxtemplater and Gotenberg: drafting became filling a form. Plus the operations app the teams work from: scheduling, run monitoring, work hours and spend in one view.

4
Functions audited
SmartSuite
System of record
Docker
Under all of it
RECOMMENDATIONS

What the people who worked with me wrote

Three recommendations from LinkedIn, quoted word for word. They stay in the language they were written in.

AM
Alex Merchenko
Head of Sales & Business Consultant · Sales Strategy & Audits
Client

“We had Ihor build a lead qualification bot for our agency. Before that, our sales guys were jumping on every call, half of them going nowhere.”

“The bot now handles first contact. Asks the right questions, scores the lead, routes the serious ones. By the time a salesperson picks up, the conversation is already half done.”

“Lead qualification time dropped around 60%. That tracks with what we saw. The team stopped burning afternoons on dead-end calls and actually started closing.”

“Delivered clean, no drama after launch. Would recommend for any sales team that’s tired of chasing unqualified inbound.”

May 2026 · LinkedIn
~60%
less time qualifying a lead
The client’s own figure, from the recommendation above
OV
Oleksandr Vashchyshyn
AI Engineer
Team lead

“I was Ihor’s team lead and watched him working across several internal projects. Document generation, ATS pipelines, workflow integrations. He handled all of it.”

“What I noticed pretty quickly was that he didn’t need handholding. You’d give him a task and he’d come back with it done, plus a few things you hadn’t thought to ask for.”

“Infrastructure side was solid too. Docker, self-hosted setup, monitoring. Stuff just worked. And when something went wrong, he usually knew about it before anyone else did.”

“Good automation engineer, easy to work with. Would recommend him for any team doing serious AI automation work.”

May 2026 · LinkedIn
PS
Parsla Sietina
Business Analyst · Process improvement & analytics
Colleague

“As a colleague he demonstrated a strong analytical mindset, exceptional problem-solving skills, and a genuine willingness to help others. No matter how complex the challenge was, he approached it with patience, curiosity, and determination to fully understand the root cause before finding the right solution.”

“He has a great ability to break down complicated processes, think critically under pressure, and come up with practical solutions to issues that initially seemed impossible to resolve. He was always approachable, collaborative, and ready to support colleagues whenever needed.”

May 2026 · LinkedIn
LIVE PRODUCTS

Try the apps I built

Three you can open and use right now. Seven more are shown, not opened.

FREE

Koss Flow CV

cv.kossflow.com

AI resume builder for candidates. Reads your PDF, rewrites the resume for a specific posting and gives you a public link.

  • PDF/DOCX import fills the profile
  • Match score 0-100 against the posting
  • Public CV at cv.kossflow.com/u/<slug>
Try free
FREE / $2+

Kosht

kosht.kossflow.com

Personal finance that survives four currencies and a sole-trader tax year. Web and Android, one account.

  • Monobank sync, AI categorization
  • Household sharing, crypto, Drive backup
  • Sole-trader tax calculator, four regimes
Try free
FREE · GPL-3.0

Papir

papir.kossflow.com

A PDF app that changes documents, not just displays them. Desktop for Windows and its own Android version.

  • Merge, split, reorder and export pages
  • Forms, hand signature, OCR for scans
  • Runs locally, GPL-3.0, no account
Download
Seven more projects, shown rather than opened
Chat, Meet, Courses, Recruiter, SMM, Ops, Fit — screenshots, the problem and how it is used. No public sign-up, so no button that pretends otherwise.
Open the showcase

One Koss Flow account works across every app, single sign-on via auth.kossflow.com

TECH STACK

The stack, grouped by what it does

Not a wall of logos. What each part is for, and what I use for it.

Agents
Tool calling · custom MCP servers · multi-agent orchestration · memory and context · human-in-the-loop gates · retry, circuit breakers and fallback
Models
Claude · GPT · Gemini · Groq · per-tenant provider routing with automatic fallback · evals, LLM-as-judge and regression harness
Knowledge
RAG and agentic RAG · Qdrant · pgvector · embeddings and semantic search · Docling and OCR for scans
Voice
LiveKit · Whisper and Deepgram with a fallback chain · ElevenLabs · Vapi · zero-shot voice cloning · speaker-attributed transcription
Product
Next.js · React · TypeScript strict · Kotlin and Jetpack Compose · Tauri · FastAPI · Supabase · PostgreSQL with RLS
Runs it
Docker Compose · Caddy · self-hosted VPS · n8n in queue mode · uptime monitoring and error tracking · nightly backups · EU AI Act and GDPR obligations
ABOUT
Ihor Kostyniuk Ihor Kostyniuk
Ihor Kostyniuk
Senior AI Engineer · LLM agents, MCP, RAG, Voice AI

Not just a freelancer, a systems thinker

Started in marine engineering, where a system either works or someone gets hurt. That obsession stuck. In AI automation the bar is the same: 99.9% uptime is the baseline, not a brag.

Two and a half years shipping production LLM systems on self-hosted infrastructure. I write the orchestration layer myself instead of adopting a framework: tool-calling loops, custom MCP servers, multi-provider routing with automatic fallback, checkpointed pipelines that resume after a crash, human-in-the-loop gates. End to end means the web app, the native Android app and the server under them.

English C1 Ukrainian C2 Russian Native Remote-first Odesa, Ukraine
Certifications
OpenClaw: Autonomous AI Agents
Udemy · Mar 2026
AI Voice Agents: Vapi + ElevenLabs + n8n
Udemy · Dec 2025
LLM Apps & AI-Agents with n8n & APIs
Udemy · Sep 2025
Automation #withMake
Web3nity · Jan 2025
GET IN TOUCH

Tell me what's slowing you down

Describe the problem, even a rough idea. I'll tell you if it's automatable and roughly what it takes. No pitch, no commitment. Usually reply within a few hours.

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