AI Automation
n8n workflows, REST APIs, webhooks, AI/LLM integrations, Telegram bots, CRM automation and Supabase/SQL.
AI Automation · Process Optimization · Product & Project Delivery
For founders, SaaS teams and growing businesses that are tired of manual copy-paste, broken handoffs and tools that do not talk to each other.
Product Manager / Product Owner · Open Work Permit + SIN · Remote · EST/EDT · CET/CEST
I work at the intersection of Product Management, Business Analysis, operations and hands-on automation. I help teams see what is actually happening in their workflows, remove unnecessary steps, connect disconnected tools and automate the parts that save time, reduce cost or create revenue.
n8n workflows, REST APIs, webhooks, AI/LLM integrations, Telegram bots, CRM automation and Supabase/SQL.
Process mapping, bottlenecks, duplicated work, broken handoffs and requirements — before anything is automated.
Discovery, requirements, backlog and prioritization, QA/UAT, release coordination and cross-functional delivery.
The goal is not automation for its own sake. The goal is a system that is simpler, faster, more reliable and easier to operate.
Find out what is really happening — not what the documentation says.
Locate bottlenecks, duplicated work, broken handoffs and unnecessary steps.
Remove what should not exist before automating what should.
Choose the smallest useful solution and the right tools for it.
Build it or coordinate the implementation, with AI assistance where it helps.
Test normal and edge cases, document the result and hand it over.
Every case states my role and its evidence boundary. No invented metrics.
AI content automation · n8n
A multi-stage pipeline that turns curated Telegram channels into topic-based audio digests: dedicated stages for collection, AI classification and processing.
Founder project. Workflows archived; presented as an architecture and delivery case, not as a live production system.
AI web MVP · Gemini + Supabase
A public pilot of an assessment that turns structured answers into an AI-readiness result — scoped to stay small enough to test quickly.
Public repository and demo landing are live. The AI evaluation flow was not re-tested for this case.
AI MVP · provider testing · launch gates
An AI makeup-learning MVP: a user uploads a portrait, chooses a look and receives an AI-generated target image — with the goal of learning to recreate it.
MVP in development. The technical target-image slice passed testing; the full product is not yet ready for testers.
Web app + Telegram bot · product ownership
From a weekly game to a working digital product: game nights, results and player statistics in one application connected to Telegram.
In live use by a recurring poker group. Usage scale is not published.
Figures from the public Upwork profile. Product / Project Management · Business Analysis · B2B Operations · AI Automation.
Authorized to work in Canada — Open Work Permit holder, SIN holder. Remote · EST/EDT · CET/CEST.
View LinkedIn profileIf you have a manual, fragmented or poorly documented workflow, I can help map the problem, identify the right first step and move it toward a working result.
Discuss a workflow or product problem