Automation

I’m actively building a collection of automation projects that sit at the intersection of scientific workflows, personal productivity, and data-driven decision making. Much of this work focuses on turning fragmented processes into cohesive, reproducible systems — whether that’s automating experiment tracking, synchronizing calendars and task systems, or building pipelines that convert structured notes into databases, dashboards, and actionable plans. My goal is to reduce friction between thinking, recording, and doing, so that ideas move more easily from concept to implementation.

On the research and engineering side, I’m developing tools that support automated data processing, experiment logging, and configuration management for complex technical projects. In parallel, I’m building personal automation systems that integrate training data, scheduling, journaling, and long-term planning into a unified framework. Longer term, I want these efforts to converge into extensible platforms — modular systems where scientific work, software development, and personal knowledge management can share infrastructure instead of living in separate silos. Across all of these projects, the common thread is the same: designing automation that doesn’t just save time, but meaningfully improves clarity, consistency, and momentum.