I find the points in a process where manual work can be removed by automation, and I close them end-to-end — AI agents & bots, parsers and scrapers, browser automation and multi-account at scale, dashboards and integrations. I specialize not in a niche but in a type of task: one method — already 10+ niches.
I build through an AI pipeline (Claude Code, Codex, MCP): the AI writes the code — I own the task definition, architecture, tests and acceptance. Instead of assembling from ready-made no-code blocks, I build custom solutions for the specific process — so launch takes days and weeks, not months. Over 2 years I've moved through 10+ directions: from SEO and reputation marketing to crypto analytics. I don't take on highload or mobile development — I take light-to-medium tasks and carry them to working production.
Proofs are under NDA / inside closed teams — no public demos; below is the essence and the result of each case.
Also built: own software for audience parsing and Telegram outreach (an analog of a $300/mo paid tool); automation of review work (Trustpilot, Google); personal bots for routine (transcription, limit monitoring).
I understand the processes of teams running fleets of sites. Some of the below I've done hands-on, some is adjacent and I'll figure out fast (marked).
I build bots, platforms, integrations and internal services for agencies and teams through an AI pipeline. Full cycle: brief, specification, plan, implementation, tests, deploy to production (cases above).
A year and a half of browser automation, from which I moved into development: managing a fleet of 1000+ accounts, anti-detect infrastructure, mass registration and analytical data parsing. The foundation I grew into AI automation from.