What I'm working on now
I'm expanding on the 'agent that builds agents' concept from my recent Zenn article by leveraging the Model Context Protocol (MCP) to build autonomous data analysis flows. Using Python and GCP, I'm currently iterating on automating data engineering tasks in more practical ways.
As seen in my recent GitHub activity, I'm rebuilding my portfolio site using a modern tech stack. I'm focusing on optimizing the deployment flow with Cloud Run and streamlining how I showcase my technical contributions.
What I'm reading
With AI adoption accelerating in RevOps, I'm investigating new design patterns for ensuring data pipeline reliability. I'm deep-diving into technical articles covering the evolution of dbt and optimization techniques for large-scale BigQuery processing.
To take a more scientific approach to my home roasting hobby, I'm reading up on the correlation between bean varieties and roasting profiles. I'm exploring whether I can apply my data analysis skills to craft the perfect cup of coffee.
What I'm into lately
I've been enjoying SUP on the calm morning waters here in Okinawa. The time spent paddling while listening to the waves serves as the ultimate meditation to sharpen my focus for coding.
Following my Zenn post on building a fridge, I'm currently fine-tuning sensors to improve temperature control precision. I'm fully immersed in this DIY project that blends hardware and software.
Recent events & meetups
Recently, I've prioritized small, deep-dive discussion groups like the RevOps reading circle over large Connpass events. Exchanging views with other engineers on the real-world challenges of AI implementation has been highly stimulating.
Even when I can't attend events in person, I value asynchronous technical exchanges via GitHub and Zenn. Receiving feedback on my posts helps me deepen my understanding of emerging technology trends.