I'm a backend-focused developer with ~5 years of professional experience and currently experimenting with AI.
I enjoy understanding how things work under the hood — which is why many of my projects involve building systems from scratch.
A dual-AI financial intelligence system that combines time-series forecasting and LLM-based market reasoning
- Built with Python + Prophet + Qwen3.5 9B
- Local models
- Market predictions based on dataset
- Automatic report generation and broadcasting
A distributed system designed to process AI prompts asynchronously:
These services are designed to work together and depend on each other.
A self-hosted file storage API inspired by S3.
- Built with Go + Fiber
- Focused on scalability and clean architecture
- Designed as a backend service for file management
- Multi tenant
A centralized API for managing push notifications for PWAs.
- Built with Go + Fiber
- Handles notification distribution across clients
- Designed to decouple notification logic from applications
- Multi tenant
- Mastering LLM usage with various projects
- Building systems with Go (Golang)
- PHP (Vanilla)
- JavaScript (Vanilla)
- Delphi 12 (Windows native applications)
- FirebirdSQL
- Go (Fiber)
- PostgreSQL (current standard)
- MySQL (used in past projects)
- Python (scripting & automation)
These projects represent iterations of the same idea over time, showing my growth as a developer:
- Simple Web Crawler -> initial version
- Kraken -> improved version
- Contributed to the official V language website (CSS and layout improvements)
- GitHub: https://github.com/Angel-del-dev