Building the agricultural intelligence stack American farming is missing.

Five products, one connected stack — rendered the way a soil scientist would draw a field site. Research at the bedrock. Field above. Each layer feeds the ones below it, and field data flows back up through every layer to the substrate. It is a loop, not a list.

I work on soil carbon, soil nitrogen, biogeochemistry, and modeling. Outside the soil, I'm drawn to sociology, post-AI economics, and the human dimension of how technology and food land in everyday life.

Active work, publications, and the science questions that shape how I think — on the Research Journey page.

I'm not a generic software founder hunting an ag market. I came in through soil systems, microbial ecology, and years of seeing how hard it is for real agricultural knowledge to move from papers and institutions into everyday decisions. The ambition isn't five disconnected products — it's one coherent intelligence layer for agriculture, built from multiple entry points.

Below the line is the more personal layer of how I think — essays, side experiments, and a few things I love — for anyone curious about the philosophy beneath the work.

• 2026
  Ag Intelligence Stack Building the intelligence layer American agriculture is missing. Four connected platforms forming an evidence-to-outcome loop.
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• 2026
  The Pathology of More · Part I From "feed 10 billion" to "more carbon more carbon" — how single-metric maximization became the organizing ideology of modern food systems.
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• 2026
  The Balance Sheet We Never Audited · Part II The innovation loop that fed eight billion people wasn't free — it was debt-financed by ecological capital, and the ledger has never been opened.
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• 2026
  The Economics of a Post-AI World · Part I 92 million jobs displaced by 2030, a K-shaped economy, and the policy mechanisms needed to distribute AI's gains broadly.
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• 2026
  Social Coin: A Contribution Economy · Part II A two-layer reward system that recognizes the $12 trillion in invisible care, creativity, and community work.
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• 2026
  Brahmanda: Can Agents Discover Science? A living Vedic universe experiment where LLM-powered souls observe, theorize, and validate truths about the world they inhabit.
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• 2026
  WDMA: Weighted Developmental Memory Architecture Salience-gated memory encoding in AI agents — jolt-driven encoding, thermodynamic decay, developmental plasticity.
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Movies, TV, and anime I love — see the full list with reviews.

Actively raising and open to partnerships, university collaborations, and operator intros. Email is the fastest way to reach me — I read everything that comes in.