I'm an expert programmer in Python. I've been developing apps before I got into Data Science — for various personal needs. My expertise includes creating apps to automate routine tasks, optimize workflows and develop custom tools for unique requirements: from building bots and web crawlers to complex desktop applications.
The following list represents some of my highlighted Python projects (excluding open-source contributions and other proprietary or small projects).
Content generation, digital marketing
Personalized, LLM-based email marketing automation with user segmentation and A/B testing analytics
— Personalized, LLM-based email marketing automation with user segmentation and A/B testing analyticsText analysis, image analysis
A Telegram bot with NLP and vision transformer that detects and moderate messages in real-time, logging actions and auto-removing/warning users. Designed for Telegram groups.
— A Telegram bot with NLP and vision transformer that detects and moderate messages in real-time, logging actions and auto-removing/warning users. Designed for Telegram groups.Content generation, RAG
PoC chatbot app that combines LLMs with RAG techniques. It leverages semantic text embeddings, vector search using ElasticSearch and LLM integration (via OpenAI API or open-source alternatives) to produce responses for customer service and automated content generation.
— PoC chatbot app that combines LLMs with RAG techniques. It leverages semantic text embeddings, vector search using ElasticSearch and LLM integration (via OpenAI API or open-source alternatives) to produce responses for customer service and automated content generation.Web scraping, data preprocessing
A Python script designed for web scraping, data integration and further model training. It leverages BeautifulSoup for parsing HTML content, TensorFlow and Keras for building and training baseline models, and several other libraries for data processing and automation.
— A Python script designed for web scraping, data integration and further model training. It leverages BeautifulSoup for parsing HTML content, TensorFlow and Keras for building and training baseline models, and several other libraries for data processing and automation.API parsing
Python scripts for parsing Wildberries, the largest Russian online retailer. Designed to extract data via API.
— Python scripts for parsing Wildberries, the largest Russian online retailer. Designed to extract data via API.OSINT, NLP, web agents, web scraping
LLM-based OSINT tool designed to perform deep web searches by orchestrating multiple web agents and a knowledge agent that uses state-of-the-art machine learning methods. The tool crawls the entire web to gather massive amounts of publicly available data, then leverages advanced LLM techniques to perform natural language tasks on that information.
— LLM-based OSINT tool designed to perform deep web searches by orchestrating multiple web agents and a knowledge agent that uses state-of-the-art machine learning methods. The tool crawls the entire web to gather massive amounts of publicly available data, then leverages advanced LLM techniques to perform natural language tasks on that information.Lightweight and clean dockerized Aiogram templates for creating Telegram bots, with RedisStorage, Alembic and PostgreSQL
— Lightweight and clean dockerized Aiogram templates for creating Telegram bots, with RedisStorage, Alembic and PostgreSQLContent generation
Software with Telegram bot-like functionality that allows to leave instant GPT4-generated comments by specifying Telegram channels to monitor for new posts, and prompts to customize behavior
— Software with Telegram bot-like functionality that allows to leave instant GPT4-generated comments by specifying Telegram channels to monitor for new posts, and prompts to customize behavior 
