Practical AI Engineering Journey
My experience path is less about traditional roles and more about building, contributing, and learning through real projects, open-source work, and technical problem solving.
Timeline
A simplified, AI-focused view of how I’ve been building skills and experience.
AI Engineer Portfolio Builder
Designing and refining a portfolio around GenAI, LLM applications, and agentic workflows while continuing to add more advanced AI projects.
GenAI, RAG, and Agentic Systems
Actively building with prompt engineering, retrieval systems, multi-agent orchestration, and deployment-focused experimentation.
Web & Software Foundations
Built practical grounding in HTML, CSS, JavaScript, Python, C/C++, Node.js, and core engineering concepts that support AI product work.
Community-Driven Growth
Continuing to learn through collaborative projects, code sharing, and iterative improvement of AI tools and interfaces.