Meet Cardell
I help early-stage teams reduce uncertainty by designing and building reliable automation and AI-enabled systems. Everything I build is meant to support real business decisions.
Professional Overview
I have experience across machine learning, data analysis, and software engineering. I currently work in a research lab developing models for single-cell RNA sequencing data, and I apply that same analytical rigor when designing production-ready automation and AI systems.
My focus is on delivering systems that reduce manual work, improve reliability, and provide measurable ROI. Every workflow I design is tailored to real operational needs and backed by clear technical reasoning.
Whether it’s automating repetitive tasks, integrating AI features, or building internal tools and dashboards, I ensure that technology directly translates into operational value.
Selected Projects
A local LLM assistant for querying Markdown/Obsidian notes. Designed for local-first use, emphasizing privacy, reliability, and fast iteration.
Developing deep learning methods to pool a 30M sample single-cell dataset across species, with an emphasis on robustness and generalization.
Worked with Array of Engineers to extend their web-based modeling tool with SysML v2 exports, supporting real-world systems engineering workflows.