AI / Data / Automation Engineer
Focused on building practical systems for data processing, AI analysis, and workflow automation.
Languages & Core
- Python (asyncio, aiohttp)
- SQL (PostgreSQL, MySQL)
- JavaScript (basic)
AI & Data
- OpenAI API (LLM integration)
- Prompt Engineering
- Data processing & analysis (Jupyter)
Infrastructure
- Linux (Astra Linux / Ubuntu)
- Docker (basic)
- Git (GitHub / GitLab)
Tools
- Telegram Bot API
- REST API integration
- DBeaver, JupyterLab
Automated monitoring system with AI-powered message analysis
- Async Python service (discord.py, aiohttp)
- AI summarization via OpenAI API
- Smart filtering (keywords, regex)
- Telegram bot integration
- Scheduled execution (Railway / cron)
Data indexing and processing for blockchain events
- GraphQL queries
- Event aggregation & data extraction
- Understanding of ETL pipelines in Web3
- AI-powered automation
- Data pipelines & monitoring systems
- Event-driven architectures
- Practical AI integration into real workflows
- Learning advanced AI systems and LLM applications
- Improving system design & backend architecture
- Building automation tools for real-world use cases
- X: @ByKenzo21
- GitHub: https://github.com/CaptainFlint21