This repository serves as my AI Engineer portfolio, showcasing projects that focus on building practical, explainable, and usable AI systems.
Rather than training models from scratch, my work emphasizes:
- applying AI to solve real problems
- combining rule-based logic with AI capabilities
- designing AI systems that are structured, explainable, and deployable
- Natural Language Processing (NLP)
- AI-powered productivity tools
- Decision support systems
- API-first AI applications
I believe an AI Engineer’s role is not only to make AI work, but to make it understandable, reliable, and useful for users.
👉 See learning-philosophy.md
My learning and project roadmap can be found here:
👉 See roadmap.md
A curated list of my AI projects is available here:
👉 See projects.md