Techno-Economic Strategy · First-Principles Physics · Deep-Tech
Director of BI & Product by formal title; in practice, a high-leverage strategic technologist and commercial architect across operating (Renw) and IP holding (Silvera) entities. Sitting at the intersection of thermodynamic first-principles physics, ground-up TCO modeling, supply-chain red-teaming, and regulatory strategy — de-risking high-stakes commercialization before capital commits.
Shipped: Proprietary thermodynamic “physics moats” and cold-chain baselines, enterprise TCO decision engines (EcoMetrics with 105+ dbt tests across 75+ SKUs), joint commercial red-teaming alongside sales leadership, California EPR rulemaking testimony, and production agentic AI systems (KineticCRM with 151+ tests).
Strategy here is not high-level slides. It is the system through which complex commercial decisions get made under physical laws, unit economics, and regulatory constraints — thermodynamic physics moats, comparable TCO scenarios, traceable economics, and supplier red-teaming.Four capability lanes carry the work: commercial strategy & deal structuring, first-principles physics & decision infrastructure, regulatory & compliance engineering, and production systems & agentic AI.
First-principles physics frameworks (thermodynamic R-value baselines vs. incumbent plastics/EPS), granular TCO and dynamic pricing engines, enterprise data pipelines (105+ dbt quality tests on EcoMetrics), commercial red-teaming dossiers, and production AI with real recovery paths (151+ tests on KineticCRM).Expect rigorous models, verifiable physics, and defensible economics. Not one-off demos.
I operate full-time in industry as a high-leverage individual contributor and executive proxy. If you have a high-stakes challenge in deep tech, materials, bio-industrial scaling, or enterprise decision infrastructure that requires bridging deep technical reality with commercial deal-making, send a note. I reply async.
Founders, operators, and diligence teams in materials, packaging, and bio-industrial usually start with one of four capability lanes. Pick the lane that matches your problem, then follow the evidence on this site.
Regulated domains where bench, data, rulemaking, and go-to-market cannot drift apart. Each lane is a way I work, not a job title.
First-principles commercial wedges, joint technical sales engines, and deal red-teaming.
Thermodynamic boundary modeling, TCO engines, assumptions, and kill criteria.
Policy as competitive infrastructure — EPR rulemaking, claim defensibility, and AI governance.
Production AI, agentic workflows, and analytics where the numbers and behaviors must hold.
Tier 1 work spans climate analytics, national logistics and EPR automation, and CRM automation with tests behind it. Try EcoMetrics live; project pages include Executive vs Engineer detail where it helps.
Techno-economic & climate intelligence: ground-up Total Cost of Ownership (TCO) calculator and environmental claim validation across 75+ SKUs. dbt pipeline with 105+ data quality tests, DuckDB analytics, Streamlit dashboards — transaction-level margin logic, monthly aggregation models, multi-company architecture.
Industrial platform architecture & operations at enterprise scale: thermodynamic physics moat modeling, unified shipping engine for 1K–100M units, piecewise volume discounts, multi-modal transport, geospatial port detection, EPR integration, 75+ SKU catalogue — production BI with Prometheus/Grafana.
Agentic AI systems: CRM where autonomous agents manage leads and workflows — multi-strategy error recovery (~85%), graph-based workflow execution, conversation analysis, and 151+ automated tests.
Research-side projects (trading agents, spatial P2P, vision pipelines, portable GIS) and in-development theses (Providence, Craton). Most feed lessons back into production work; none of them belong on the front page.
Selective conversations with founders, operators, and diligence teams in materials, packaging, and bio-industrial. Brittle workflow, fuzzy economics, regulatory load, or a pathway that needs a kill criteria? Mention your lane on the contact page. I reply when there is a real problem on the table.
Prefer async? Use email on the contact page. A calendar slot is there if a live conversation helps.