Data Science & AI
AI / ML
Retrieval-Augmented Generation (RAG), generative AI, integrating large-scale knowledge bases with LLMs
Data & BI
Data mining, ETL (Microsoft SSIS), business intelligence, data visualization with R and Tableau
Languages
| Language | Where I’ve used it |
|---|---|
| Python | Async scraping & data analysis — CrAutos Scraper |
| C / C++ | Systems work, simulations, and a Linux kernel HID quirk |
| C# / .NET | Web apps with .NET Core and Blazor |
| JavaScript | Browser apps & simulations — Escape Room |
| Java | Android development and academic projects |
| R | Statistics and data exploration |
Web & App Development
Frontend
JavaScript, HTML5, CSS3, Bootstrap, Blazor, Progressive Web Apps (Service Workers, Workbox)
Backend
.NET Core, C#, Node.js
Data & Databases
Data / Python stack
asyncio, httpx, BeautifulSoup, pandas — concurrent data collection, cleaning, and scoring
Databases
PostgreSQL, MySQL, MSSQL, Oracle DB, MongoDB, Firebase
Practices & Tooling
Engineering hygiene
Git & GitHub, linting/formatting (ruff), testing (pytest), pre-commit hooks
Domains
Open-source contribution, web scraping & automation, GIS / OpenStreetMap, kernel-level HID