I'm Samuli Vainio — a full-stack & cloud developer from Finland. I design, build and ship web apps, cloud architectures and automation to production, with over 20 years of experience.
I build systems that hold up in production — architecture and code, all the way to CI/CD pipelines and deployment, leveraging AI along the way.
I'm a software engineer with over 20 years of hands-on experience building and operating web-based digital services and responsive web apps across many industries. Since 2019 I've worked on a large public-sector digital service — a nationwide, citizen-facing e-service in Finland — first as a full-stack developer and now as DevOps Lead.
In my own product projects, I build cloud-native serverless apps on AWS and explore modern cloud architectures and AI-assisted development workflows. Lately I've been experimenting with AI-driven automation and data analysis — Telegram bots that analyze financial-market and sports data to spot opportunities with TensorFlow machine-learning models.
Across all commercial engagements, I use either Anthropic or OpenAI models to support planning, implementation, testing, and review. I agree the handling of client materials in advance, verify the outputs myself, and remain accountable for the result.
I deliver commercial engagements through my company Poggers Oy. Up-to-date services, boundaries, and prices are available at poggers.fi.
A large citizen-facing public-sector e-service used every day. On the project since 2019 — first as a full-stack developer, and DevOps Lead since 2022: CI/CD pipelines, release processes, production support, security, and infrastructure as code (Jenkins, Docker/Podman, Ansible).
A serverless platform where multiple customers each run their own rental marketplace. Designed and built end to end on AWS, multi-party payments included.
The user gives a product name and a few photos — an AI assistant writes a publish-ready listing, a price estimate and image feedback. Trilingual, serverless on AWS.
A dockerized Python bot for stocks and commodities: confluence-based signals, ATR risk management, optional ML forecasts and news-driven boosts. Posts to Telegram.
A container-based Python service that scans odds across 12 sports, scores value picks with machine learning and delivers tips over Telegram — subscriber channel, scheduled jobs and payments.
Watches saved-search listings on Tori.fi, values each item with OpenAI and sends concise Telegram alerts about underpriced finds. Built for resellers.
Email or phone works best — drop me a message and I'll get back to you soon.
Bounded commercial services are available through Poggers Oy: