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Oleksandr builds the data side of AI products: collecting and cleaning text and documents, then feeding it to language models in a way that produces usable results.
What he does
- Built a content generation tool for SEO specialists on Django and the OpenAI API, combining scraped source text with model output.
- Designs scraping and parsing pipelines with Scrapy, Selenium and pdfplumber, including documents such as permits, leases and deeds.
- Builds web APIs with Django REST Framework and Flask that return processed data to other systems.
- Develops Telegram bots with appointment reminders and admin-managed content.
Background
Four years of Python with a master's degree in computer systems automation. On AI projects he prepares the knowledge that retrieval (RAG) and generation depend on, which is usually where accuracy is won or lost.
