Description

I help businesses across Europe work smarter — automating their workflows, building better websites, driving digital growth, and adapting their message for new markets.

🤖 Workflow Automation (n8n + AI)

I build custom automation systems that cut manual work: lead pipelines, CRM sync, AI-powered bots, API integrations. If it can be automated — I automate it.

🌐 Websites & Redesigns

Fast, clean, conversion-focused websites. I also fix what isn't working — slow, outdated, or underperforming sites get rebuilt to actually deliver results.

🎯 Digital Marketing & Funnels

From traffic to conversion. SEO, PPC, SERM — and full funnels that turn visitors into paying clients.

🌍 Translation & Localization (RU / EN / LV)

Not just translation — adapting your message for the target market. Websites, ads, business materials.

Why clients choose me:

EU-based in Latvia — clean invoicing, EU VAT, easy Revolut payments

One person, full ownership: no agency handoffs, no miscommunication

Tech + marketing background — I understand both what to build and why

Based in Riga. Working with clients across France, Germany, the Netherlands, and beyond.

Languages

English
Native or bilingual
Prussian
Native or bilingual
Latvian
Fluent
French
Conversational
Spanish
Conversational

Workplace preferences

Remote only

Primarily works remotely

Restaurant Group
Automated reservation system eliminated manual booking chaos
DIGITAL AND IT
August 2024 - October 2024 (2 months)
Riga, Latvia
One‑liner outcome: Reduced double‑bookings by 92% and saved ~47 hours/week through an automated reservation pipeline.

Client context: Restaurant group (3 locations), Riga, Latvia.
Problem: Reservations were handled manually across Telegram/phone/email into a shared spreadsheet, causing weekly double‑bookings and slow replies during peak hours.

Goal / KPI: Eliminate overbooking, speed up confirmations, reduce no‑shows, unify visibility across locations.

What I did:
Built an n8n workflow: Telegram bot → Google Sheets → instant confirmation messages.
Added capacity rules to automatically block overbooking across 3 locations.
Implemented automated reminders (2h before) + no‑show alerts for staff.
Delivered a real‑time dashboard for team visibility.
Stack: n8n, Telegram Bot API, Google Sheets, Webhooks.

Result: −92% double‑bookings, 47h saved/week, 4× faster response, −31% no‑show rate.

Timeline / effort: 28h.

Constraints: Multi‑location capacity logic + peak‑time reliability.
Handover: Workflow documentation + dashboard link + staff instructions.
AI Workflow Architect SERM\ORM Digital Marketing n8n AI Automation Specialist Business Plan Development
Real Estate Agency
AI lead qualification bot (n8n + GPT + CRM)
DIGITAL AND IT
October 2024 - January 2025 (3 months)
Riga, Latvia
One‑liner outcome: Tripled pipeline in 5 weeks with AI lead qualification + instant routing into Pipedrive.

Client context: Real estate agency, Riga, Latvia; inbound from website forms + social media.

Problem: 60+ monthly inquiries were processed manually; agents spent ~2 hours/day on unqualified calls; “hot” leads waited hours for a response.
Goal / KPI: Cut first response time, auto‑filter low‑fit leads, increase qualified pipeline, reduce admin time.

What I did:
Built an n8n + GPT‑4o qualification flow to collect budget, timeline, and preferred area.
Implemented lead scoring (1–10) and automatic deal creation in Pipedrive.
Triggered instant Telegram alerts to agents for high‑score leads.
Automated weekly pipeline report delivery every Monday.

Stack: n8n, OpenAI API, Pipedrive, Telegram, Google Sheets.

Result: 3.1× pipeline volume, <4 min first response, 71% auto‑qualified, −58% admin time.

Timeline / effort: 36h.

Constraints: Lead quality variance from multiple channels.
Handover: Workflow map + scoring rules + CRM field mapping.
AI Workflow Architect n8n AI Automation Specialist Go-to-Market (GTM) Strategy PPC Strategic planning
Online sports nutrition store
Google Ads rebuild (ROAS recovery)
DIGITAL AND IT
January 2024 - April 2024 (3 months)
Liepāja, Latvia
One‑liner outcome: Rebuilt Google Ads from a losing structure to 4.8× ROAS and 98% feed approval.

Client context: Online sports nutrition store, Latvia; spend ~€2,500/month.
Problem: Account had 1.4× ROAS, no structure, 40% product feed disapprovals, and Smart Shopping cannibalized branded traffic.
Goal / KPI: Fix Merchant Center feed, stop cannibalization, rebuild structure for scalable revenue and controlled CPA.

What I did:
Audited Merchant Center and rebuilt feed with structured attributes.
Split campaigns into brand, category, and competitor groups.
Launched hybrid structure: Performance Max + Standard Shopping.
Set up GA4 enhanced e‑commerce and value‑based bidding targets.

Stack: Google Ads, Google Merchant Center, GA4, Looker Studio.

Result: 4.8× ROAS (was 1.4×), −44% cost per order, +240% ad revenue, 98% feed approval.

Timeline / effort: 22h.
Constraints: Feed hygiene + attribution consistency.
Handover: Campaign map + reporting dashboard + ongoing optimization checklist.
Go-to-Market (GTM) Strategy Digital Marketing AI Workflow Architect Product Launch Strategy Business Plan Development

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Master
Baltic Federal university of Imanuel Kant
2021
Master's in Transport Process Engineering. Developed strong analytical and systems-thinking skills — now applied to building efficient digital workflows and automation solutions.

Dilyus Gabitov

n8n AI Automation Specialist

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