Artem S.

I build AI automation that takes manual work off a team, and AI agents that carry out the steps a person used to do by hand.

The requests that reach me usually start the same way. Someone is copying data between two tools, answering the same question over and over, or opening documents to find one number. That work is a good fit for AI automation, an AI agent, or a RAG pipeline over your own content. Some of it is not, and I will tell you which is which before you spend a budget on it.

📌 What my Upwork record says
Top Rated Plus. 100% Job Success. Over $100K earned on Upwork across 9 jobs. That is a short list of substantial builds rather than a long list of small tasks, and it is the work I am set up for. The average response time shown on this profile is 8 to 12 hours.

Verified review from a recent client:
"Artem was a pleasure to work with. He approached the project with professionalism, delivered high-quality results, and maintained clear and prompt communication. His technical expertise and reliability exceeded expectations. Highly recommended to anyone looking for a skilled and dependable freelancer."

⚙️ AI automation and AI agents
I build automation that runs without anyone watching it: intake, routing, data enrichment, document processing, reporting, and the handoffs between the tools you already pay for. When a step needs judgment instead of a fixed rule, that step becomes an AI agent with defined tools, defined limits, and an action log you can audit. If a step touches money, customers, or production data, say so and I will put a human approval point in front of it rather than let the agent act on its own.

🔎 RAG pipelines and chatbots
An LLM chatbot is only as good as what it is allowed to read. I build RAG pipelines over your documents, tickets, product data, and internal wikis: chunking, embeddings, retrieval, and evaluation, so an answer comes back with its source attached instead of a confident guess. Send me the questions your own team actually asks and I will test retrieval against those before anything goes in front of a customer.

🐍 Python development and API work
Underneath all of it is plain, readable Python. Hiring a Python developer for an AI build should leave you with code your own team can still read six months later, so that is the standard I write to. Flask, FastAPI and Django services. Custom REST and GraphQL APIs. Data scraping, ETL, and process automation scripts. Integrations with OpenAI, Stripe, Twilio, and whatever else your stack already runs on. If your AI feature has to live inside a product that already has users, this is the part that decides whether it ships or stalls, and it is the part I spend most of my time on as an AI engineer rather than a prompt writer.