Available for new projects

Your business runs on
manual work that
AI should handle

I build production AI systems that automate document processing, answer your team's questions instantly, and qualify leads while you sleep. Not demos — working systems delivered in 1–2 weeks.

"SQS, DLQ, idempotent retry, audit logs — from day one. Not as an afterthought when things break in production."

7+ years · Eastern Europe's largest fashion e-commerce

Scaletens-of-millions of users
InfrastructureLambda · S3 Vectors · CDK
LanguagesGo · Node.js · PostgreSQL
Ready to deploy3 live templates
Production engineer, 7+ yearsGo · Node.js · AWS · tens-of-millions scale
Delivery in 1–2 weeksFixed price or hourly

All solved.

Hiring AI

The problem

Your team manually screens every CV and application PDF

A role opens, CVs start arriving, and recruiters spend hours scanning for fit, risks, and interview angles. I replace that first-pass review with an AI workflow that reads each CV in seconds, scores fit against the role, and highlights what actually needs human judgment.

Before / After
Before
Recruiter opens CV, compares it against the JD by hand, writes notes, and still misses weak signals. 10–20 min per candidate.
After
CV arrives → scored against the role in seconds → profile, flags, and fit summary generated instantly.
First-pass screening cut to seconds
Internal knowledge

The problem

Your team asks the same questions over and over

"Where's that policy doc?" "What were the specs for client X?" The answer is buried in Notion, Google Drive, or a PDF nobody can find. I build an Agentic RAG assistant that reasons over your documents — it decides how to search, cross-checks across sources, and delivers a grounded answer with citations in seconds.

Before / After
Before
Team member asks in Slack, waits for a colleague, gets a link to the wrong doc. Or just guesses.
After
Ask the AI in Slack or a chat UI. Searches your documents, answers in seconds, shows the exact source.
Works with Notion, Drive, PDFs