Artyom

Fullstack developer and product engineer

Python / Svelte / AI-native

I build working products solo, at the speed of a team. 10+ years on the road in code, the last of them paired with AI tools that turn one engineer with a strong background into a full production line.

Jun, the virtual persona and face of the studio, working on a laptop in a coffee shop

Path

~2007

First code

GameMaker 7, learned from documentation without a single mentor around. Result: a working platformer.

2014-2015

Python from books

The routine: school → code → boxing → code. Python since version 3.4.

2017-2020

College of finance and economics

Economist-accountant degree. The education laid down fundamentals that still carry the product work: the economics of product viability, the finiteness of resources, accounting as a discipline of thought.

2018-2022

Performance marketing and freelance

Traffic buying, funnels, lead generation: my own operation from scratch. Freelance in parallel: a Wizzair price scraper, a German consulate appointment bot, a parcel pickup accounting bot, payment integrations.

2022-2023

Southeast Asia, automating a lead-gen business

Rolled out Wagtail CMS (landing page production: from $200 and days of waiting → 20 minutes of copywriting), built a custom CRM that replaced a zoo of scattered paid services.

2024-2025

Startup from Russia, middle fullstack

A generative content factory: article in → prompt pipeline → images (Flux Dev, local inference on an RTX 5090) → voice-over → video. The local pipeline serves a patent, production runs via LLM APIs. Hiring test: a payment integration delivered in 2 days from documentation.

2025

Turning point

Did in one day what the team had discussed for a week. Realized an AI-native engineer operates in a different coordinate system. Went solo.

2025-2026

Solo: the artyom ecosystem

~13 connected products built alone: a content factory, distribution, a virtual persona, a CRM with order acceptance, a financial ledger (USDT crypto payments), browser automation on anti-detect profiles, an agent runtime with persistent memory, a product factory. The architectural frame: the loop "attention → trust → deal → money → repeat".

Case studies

Loyalty bot for a coffee shop

A spec the market quoted at 25 days delivered in 2 hours, in full, with a follow-up redesign.

CRM + CMS for a lead-gen business

Spend of $200 per landing page → 0; a zoo of services → one system.

Mini-CRM for a cargo business

MVP an hour after the first conversation: role-based access, protecting the customer base from leaking through employees.

Generative video pipeline

Text → images → voice-over → slideshow video, local inference of diffusion models, patent work.

Stack

Python (10+ years) Django/Wagtail SvelteKit Svelte 5 Telegram bots Tailwind payment integrations scraping/automation browser automation generative pipelines agent architectures