🚀 ** Data Engineer | Technical Writer | Freelancer | AI Explorer**
I work at the intersection of Data Engineering, AI, and LLM systems, crafting content and building workflows that make complex topics approachable for engineers, learners, and teams worldwide.
- Data Engineering → Designing resilient pipelines, optimizing workflows, and sharing practical guides.
- LLM & AI Engineering → Exploring how large language models fit into production systems, from copilots in IDEs to AI agents in warehouses.
- MCP (Model Context Protocol) → Experimenting with how MCP extends AI agents, enabling richer context and interoperability.
- Technical Writing → Publishing deep dives, tutorials, and field guides that balance technical depth with accessibility.
- Building agentic AI systems that integrate seamlessly with data platforms.
- Exploring Claude, Copilot, Gemini, and other AI agents in real-world engineering contexts.
- Writing about AI copilots in data engineering — what works, what doesn’t, and where each tool fits.
- Making data workflows approachable through visuals, infographics, and hands-on examples.
I regularly publish articles on:
- AI & LLM Engineering → Honest field guides and practical experiments.
- Data Engineering & Analytics → Tutorials, architecture diagrams, and workflow optimization.
- Open Source & Knowledge Sharing → Gists, repos, and public notes for learners and practitioners.
I’ve worked with global clients, including Fortune 500 companies, on projects spanning AI, data pipelines, and technical communication. Technical Writing, strategic Partnerships, Documentation, etc.
✨ Exploring, building, and writing in public — at the frontier of Data Engineering and AI.