Hire the Best Automation Engineers
in Kazakhstan

Manual work, disconnected tools, and unreliable bots slow businesses down. I help solve that with automation, integrations, and custom software built around your workflow. I develop Telegram and Discord bots, n8n automations, backend services, and API integrations that reduce repetitive work and keep your systems running smoothly. Whether you need a bot that serves users automatically, a workflow that connects multiple platforms, or a custom backend process running 24/7, I focus on building solutions that are reliable, maintainable, and easy to operate. What I can help with: 👉 Telegram bots (aiogram) 👉 Discord bots (discord.py) 👉 n8n workflow automation 👉 API integrations and webhooks 👉 Backend development (Python, FastAPI, Node.js) 👉 Scheduled jobs, background workers, and automation tools 👉 Data processing and custom business workflows What you can expect: ✅ A solution tailored to your requirements, not a generic template ✅ Clean, maintainable code ✅ Clear communication throughout the project ✅ Reliable automation with proper error handling ✅ Documentation and a smooth handoff If you're looking to automate manual processes, connect existing tools, build a bot, or create a custom integration, feel free to reach out and discuss your project.

I build n8n automation workflows that connect APIs, AI models, Telegram bots, and Google Sheets into reliable pipelines that run on autopilot. Deployed on self-hosted VPS with PostgreSQL — full data control, no vendor lock-in. Beyond automation, I build full-stack AI products from scratch using modern vibe coding stack — Next.js, Supabase, OpenAI API, Vercel, Google OAuth — and ship them to production. So I don't just automate processes, I understand the systems they live in. What I can build for you: — Full-stack SaaS products and MVPs — from idea to production deployment — AI-powered features: embeddings, semantic search, RAG pipelines, orchestrators — Telegram bots with custom business logic (search, scoring, notifications) — n8n automation workflows connecting APIs, AI models, and databases — AI pipelines using OpenAI / Claude APIs with structured data output — Web scraping and data parsing workflows — Google Sheets / Supabase integration (read, write, append, conditional logic) — Multi-step workflows with error handling, retries, and self-recovery — REST API integrations with any third-party service My QA background means I test every workflow before delivery — no broken automations, no edge cases missed. Tools: n8n · OpenAI API · Telegram Bot API · Google Sheets · Supabase · PostgreSQL · Next.js · Vercel · TypeScript · REST APIs Open to one-time builds and long-term automation projects.

Most teams lose hours every week to work a bot could do in seconds. I build the bots. I'm an n8n automation engineer. Booking and support bots, CRM and lead follow-up, ops reporting. One venue I worked with went from losing 5–10 customers a day to almost none. A US company I built for got 13+ hours a week back. If your team still does something by hand, that's usually the first thing I automate. What I build: - Booking and support bots on WhatsApp and Telegram. They answer in seconds, run 24/7, and write straight into the system you already use. - CRM and lead automation. New leads get captured, de-duped, routed to the right person, and followed up without anyone touching them. Works with amoCRM, Bitrix24, HubSpot, GoHighLevel, and Airtable. - Ops and reporting. AI summaries, overdue alerts, and live dashboards pulled from Asana, Google Sheets, or Notion. - Custom AI agents and API work for the jobs off-the-shelf tools can't handle. Recent results: - A venue's booking bot: replies went from 15–20 minutes to under 30 seconds, lost customers from 5–10 a day to almost none, bookings up 40%, admin load down 80%. Built in two weeks. - Internal ops for a US company (90 people, 10 locations, name withheld): automated reporting, AI summaries, and a dashboard-query bot. About 13 hours a week back and roughly $30K/year in overhead gone. Why me: I spent 8+ years in IT and ran operations for that same 90-person US company before going independent, so I think like an operator, not just a developer. I go no-code when that's fastest and drop into real code when it isn't (n8n with the Claude and OpenAI APIs, plus Next.js and Supabase when a workflow outgrows drag-and-drop). Everything ships production-ready, documented, with a Loom walkthrough so your team can actually run it. English is C2. Tell me the one task your team keeps doing by hand. I'll show you how it runs itself.

AI Automation Engineer and Generative AI Specialist with 10+ years of software development experience and hands-on expertise in building LLM-powered chatbots, RAG systems, AI agents, and workflow automations for real-world business applications. I design and deploy production-ready AI solutions using Claude API, OpenAI, n8n, and vector databases like Qdrant. I focus on delivering reliable, fast, and scalable automations — from multi-agent pipelines to client-facing web apps built through vibe coding. 🔹 What I can help you build AI agents and multi-step autonomous workflows RAG (Retrieval-Augmented Generation) systems for private business data Telegram and WhatsApp chatbots for support, sales, and onboarding LLM-powered applications (Claude, GPT, open-source models) Workflow automations with n8n or Make Semantic search engines and embedding pipelines Client-facing web forms and dashboards (vibe coding with Claude Code) Prompt engineering and LLM optimization Airtable, Notion, Supabase, CRM integrations (amoCRM, Bitrix24) 🔹 Technical Stack AI & LLMs: Claude API, OpenAI API, Prompt Engineering, LangChain, multi-agent architecture Vector databases: Qdrant Cloud, semantic search, embedding pipelines Automation: n8n, Make, REST APIs, Webhooks Messaging: Telegram Bot API, WhatsApp Business Cloud API, Evolution API, Facebook Cloud API, Instagram API Data & databases: Supabase, PostgreSQL, MongoDB, MySQL, Airtable, Notion API Backend: Python, Node.js, JavaScript, C#, Java Frontend: HTML, CSS, JavaScript, Vue.js, Claude Code (vibe coding) Infrastructure: VPS, Docker, Nginx, Ubuntu, Git, Linux 🔹 Selected Projects Artwork Collection Form : Built a client-facing web form for a merch production company using vibe coding. Auto-populates order data from Airtable by unique link, drag-and-drop file upload to Dropbox, writes all specs back to Airtable on submit, locks permanently after submission with persistent state. Real Estate AI Bot: Built a multi-agent Telegram bot for natural language property search. One agent handles conversation and extracts search parameters from plain language input; a second agent translates those into structured queries and returns ranked listings in real time. Restaurant Chain RAG System : Developed a knowledge base for a 7-restaurant chain with role-based access for 12 user types. 1,000+ documents indexed in Qdrant Cloud with per-brand tone-of-voice preservation. WhatsApp Recruiter Bot : Automated end-to-end candidate onboarding via WhatsApp using Evolution API, n8n, and CRM integration. 🔹 Why work with me? 10+ years of software engineering — production systems, not prototypes Vibe coder: ship web apps and forms fast with Claude Code Strong prompt engineering and multi-agent architecture experience Clear communication with non-technical stakeholders Focused on real business value and fast delivery If you need a reliable AI automation specialist to build high-quality, production-ready solutions — let's talk.

I build production-grade automation systems and AI agents that handle hundreds of customer interactions daily, not demo workflows. 500+ n8n nodes running 24/7 across 8 workflows. What I deliver: - n8n workflows (up to 265 nodes) with error handling, retry logic, deduplication, and 98-100% success rate - Custom microservices (Node.js, Python, FastAPI) on Docker/VPS: browser automation, IMAP services, phone validation APIs - CRM database design (PostgreSQL/Supabase) with legacy data migration, 8,000+ records synced every 60 seconds - AI-powered pipelines: GPT-4 email classification, call summarization, voice transcription (Whisper), lead generation Beyond n8n, I build production AI systems: - Autonomous AI agents with a hand-written Anthropic (Claude) tool-use loop, permission-scoped personas, and a human-in-the-loop approval gate the agent cannot bypass, driven in natural language, with self-healing deploy and auto-rollback - MCP servers (Model Context Protocol) and Claude Code integrations, exposing safe, SSH-confined tools to an LLM operator - RAG and AI content pipelines: Voyage embeddings + PostgreSQL/pgvector, cost-optimized LLM cascades with prompt caching, 8-stage async state machines - Blockchain payment integration: on-chain USDT/USDC detection (TRC20 + ERC20), contract-level anti-scam validation, idempotent sync to accounting systems Production results (real numbers, not estimates): - 15+ production deliverables across 4 clients: n8n workflows, AI agents, RAG pipelines, blockchain integration - 100+ workflow executions per day, zero emails lost - 8,360+ CRM records synced near real-time from legacy Laravel/MySQL to Supabase Recent project, Omnichannel Communication Hub (US auto parts e-commerce, 8,000+ customers): Built an 8-workflow system (500+ nodes) where the team manages ALL customer communication from Slack: emails, SMS, phone calls, and chat, without opening Gmail or OpenPhone. Includes AI spam filtering, call transcript summarization, 15-second cancel gate for outbound messages, and full conversation history via custom IMAP microservice. Other projects: - Autonomous AI agent + MCP server: Anthropic tool-use, self-healing deploy (in production) - Bitrix24 task bot via Telegram: voice transcription + file uploads (265 nodes) - AI lead generation bot: dual LLM pipeline (GPT-4o + GPT-4o-mini) - Housecall Pro scheduling engine: reverse-engineered API, zero manual entry Send me a message with your workflow or agent challenge, I'll tell you exactly how I'd solve it.

I build production-ready AI automation systems, SaaS backends, bots, CRM integrations, and LLM-powered workflows. My main strength is end-to-end ownership. I can take a business problem, turn it into a technical specification, build the backend, set up infrastructure, connect APIs, integrate AI agents, deploy everything to production, and troubleshoot real-world issues. I am a founder-developer of a multi-tenant SaaS platform for rental property management. I manage the full stack myself: backend, DevOps, Kubernetes, Supabase, PostgreSQL, Edge Functions, React Native mobile app, AI agents, CI/CD, and integrations. What I can help with: - n8n workflow automation - AI agents for business processes - Telegram bots - CRM automation and Bitrix24 / AmoCRM integrations - Claude API, OpenAI API, Gemini and OpenRouter integrations - RAG systems, embeddings, MCP and LLM workflows - Supabase backend and PostgreSQL database design - Docker / Kubernetes deployment - webhook-based automation - call analysis pipelines and voice AI architecture - SaaS backend architecture and MVP development Tech stack: Automation: n8n, Webhooks, REST API, Telegram Bot API, Bitrix24, AmoCRM AI: Claude API, OpenAI API, Gemini, OpenRouter, RAG, embeddings, MCP, AI agents Backend: TypeScript, Deno, Node.js, Python, FastAPI, Supabase, PostgreSQL DevOps: Docker, Docker Compose, Kubernetes, Traefik, nginx, GitHub Actions, Linux Frontend: React, TypeScript, React Native, Expo, Lovable.dev Voice / Telephony: VoxImplant, Asterisk, FreeSWITCH, Yandex SpeechKit, AssemblyAI, Hume AI Selected projects: - Multi-tenant SaaS platform for rental property management: self-hosted Supabase, PostgreSQL with RLS, 131 Deno Edge Functions, Kubernetes on DigitalOcean, Traefik v3, GitHub Actions CI/CD, custom LLM gateway, AI guest assistant, RAG with embeddings, React Native guest app, CRM and Telegram integrations. - AI Call Quality Assistant: VoxImplant call retrieval, Auphonic audio enhancement, Hume AI emotion analysis, AssemblyAI speech-to-text, GPT-4.1-mini scoring, Google Sheets and Supabase reporting. - AI Guest Bot: Telegram bot integrated with Bitrix24 and Claude API for guest questions, property-related knowledge search, ticket routing, and support workload reduction. - AI Exam Tutor: Telegram-based AI tutor using Python, aiogram 3, Claude Haiku API, FastAPI, Redis, Docker, and self-hosted Supabase. I work fast, but I verify everything. I check real code, logs, configs, headers, database state, and production behavior. I prefer solving root causes instead of adding temporary hacks.