Building at the intersection of Data Engineering & AI
I build the infrastructure that makes data actionable. My engineering background started in web development and evolved through deep dives into Artificial Intelligence, which taught me that the best AI models are only as powerful as their data. Today, as a Data Engineer, I focus on orchestrating scalable enterprise data workflows and architecting robust ETL pipelines.
Beyond my day job, I build AI-first applications, from RAG-based assistants to deep learning healthcare pipelines. When I'm not untangling messy datasets or pushing code, I'm working on personal growth and just exploring several other niche.
Right now: Architecting GCP/BigQuery data warehousing solutions, engineering LLM-powered agentic workflows, and optimizing modern data stacks.
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Languages Cloud & Data Engineering |
AI & Machine Learning Web & Backend |

