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Selected Work

Enterprise systems at scale.

Environmental Science

Cloud-Native Agricultural Emissions Platform

Challenge

Agricultural researchers needed to run complex biogeochemical simulations but existing tools required desktop installations, manual data formatting, and deep technical knowledge of model internals.

Approach

Built a 4-tier microservices platform connecting an interactive mapping frontend to model orchestration services. Users draw field boundaries, enter management practices, and receive emissions projections — the system handles model translation, execution, and results visualization. Supports DayCent and Landscape DNDC engines with a plugin architecture for additional models.

9 repositories, 4-tier architecture60+ frontend components, 102+ test suitesMulti-language support (English, Spanish, Danish)HECVAT Lite compliant for university deployment
AI Business Intelligence

Enterprise Document Intelligence & Automation Engine

Challenge

A global building technology company needed to extract structured data from 50+ page vendor inspection PDFs — a manual process taking 8 hours per report across multiple report formats and vendor-specific terminology.

Approach

Deployed an on-premise Intelligence Node with multi-path document extraction (rule-based parsing for 99.8% of PDFs, Claude vision API fallback for scanned documents). Built a three-tier classification engine with confidence scoring and a human-in-the-loop learning loop — every technician correction automatically improves the knowledge base for future processing.

8 hours reduced to 30 minutes per report99.8% extraction accuracy100% classification accuracy (649-device test case)Zero external API dependencies for core processing
Geospatial

Conservation & Compost Application Planning Tool

Challenge

Conservation scientists needed a way for landowners to assess soil organic carbon and water capacity at parcel level, with decision support for compost application planning across California counties at 30m resolution.

Approach

Built a hybrid rendering geospatial application combining client-side vector tiles (PMTiles via MapLibre GL) with server-side raster WMS (GeoServer). Node.js backend orchestrates Python GDAL processes for raster operations. Includes point-click analysis, area-of-interest drawing, zonal statistics, and 1-30 year benefit projections.

150,000+ parcels per county at 30m resolution5 Docker containers, self-hosted deployment$100K budget, 4-month deliveryBilingual interface (English/Spanish)
Smart Infrastructure

Enterprise IoT Community Management Platform

Challenge

A 3,200+ home smart community needed a unified platform to manage the complete lifecycle from county lot filing through 2-year post-closing homeowner support — coordinating builders, technicians, and 15,000+ IoT devices.

Approach

Built a hybrid enterprise architecture combining an ASP.NET Core web platform with a Python CLI filing pipeline. The system manages 4-phase home commissioning, automated lot filing (500+ homes processed in under 30 seconds), drag-and-drop technician scheduling, and real-time IoT utility monitoring across gas, electric, and water meters.

3,267+ homes actively managed15,110+ IoT meters tracked in real-time19-20 active builders coordinated6 external API integrations orchestrated

Got a complex problem? Good.

We scope projects honestly and estimate for free. If we're not the right fit, we'll tell you — and probably point you in the right direction.

kbrown@axiossoft.com — Fort Collins, Colorado