Geospatial science · Spatial intelligence · Systems

Geospatial Scientist & Solutions Architect

I design spatial intelligence systems that integrate Earth observation, geospatial data, analytical methods, and uncertainty modeling to produce validated, decision-ready insight for mission-critical environments.

  • Remote sensing
  • Spatial AI
  • GEOINT
  • Systems architecture
  • Decision support

Portfolio

Selected Work

Applied geospatial research, analytical systems, and spatial products designed around real operational questions.

STATUTORY BUFFERSHADOW BUFFERMTEBB ENVELOPEANALYTICAL UNIVERSE

01GEOINT · Spatial analytics · Methodology architecture

CBO–TGRA: Parcel Intelligence Under Uncertainty

Designed a four-stage geospatial methodology integrating 42+ data sources, entity resolution, evidential reasoning, geometric analysis, QA controls, and uncertainty modeling for the USC–NGA CRADA.

Role
Methodology Lead / Principal Architect
Method
Bayesian networks · Dempster–Shafer · Monte Carlo · entity resolution
Outcome
Specified, prototyped, and piloting a calibrated, traceable prioritization framework

View case study

OperatorPhysicalinputAndroidintegrationATAKGeospatialactionTAKnetworkSTATE · EVENT · LATENCY · OFFLINE · SYNC · CONFIRMATIONposition sharedtarget markedMOVING · GLOVED · LOW LIGHT · INTERMITTENT COMMS

02Product systems · Mission workflows · Spatial computing

CRUX + ATAK: Geospatial Interaction for Constrained Environments

Translated special-operations workflows into interaction requirements, integration behavior, prototype evidence, and product priorities for a programmable physical interface connected to ATAK.

Role
Product Manager
Method
Mission discovery · workflow decomposition · acceptance criteria · prototype evaluation
Outcome
Engineering-ready requirements and a reusable-capability roadmap

View case study

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03Earth observation · Remote sensing · Applied research

Spectral Signatures: From Spectral Measurements to Agricultural Intelligence

Evaluated which measurements, platforms, and indices detect grapevine water stress before visible symptoms, then designed VineVision, a confidence-gated spatial decision platform built on the findings.

Role
Author and system designer
Method
Comparative index evaluation · CWSI · Landsat 9 and UAS workflow design
Outcome
Validated measurement strategy and a costed platform architecture

View case study

flowendpointidentitydnsproxyvulnnormalizeretain locallynormalizeretain locallySELECTIVE FORWARDING · ONE-WAYcorrelateenrichretainassetmission functionEVENT → ASSET → DEPENDENCY → MISSION → DECISION

04Systems architecture · Data integration · Decision support

C2IM: From Fragmented Telemetry to Mission-Centered Information Architecture

Contributed the reference architecture and operating concept that federated cyber telemetry across organizations and classification environments into theater-level awareness tied to mission consequence.

Role
Reference architecture and CONOPS contributor
Method
Source-to-decision mapping · CEF normalization · correlation · mission-dependency modeling
Outcome
Common implementation model; pilot entered operations

View case study

  • GEOINT · Human security

    Sudan Food Security GEOINT Assessment

    TCPED-structured brief and public StoryMap: hunger follows conflict and access restriction; confidence stated by region.

  • Disaster response · Spatial analysis

    Camp Fire After-Action Analysis

    Minute-level reconstruction of the 2018 warning-to-action chain and the failure at each link, with located vulnerability mapping.

  • Cartography · Spatial communication

    Categorizing Chaos: Tropical Cyclones

    ArcGIS StoryMap explaining cyclone formation and the Saffir-Simpson scale through four 2024 storms; presented at the LA Geospatial Summit.

All case studies  ·  Technical Lab

How I work

From spatial evidence to operational decision

I structure geospatial problems around the decision, required evidence, analytical method, uncertainty, validation criteria, and operational output.

01 · DEFINE

Operational question

The decision, who makes it, and the cost of being wrong.

  • Question
  • Requirements
  • Mission workflow

02 · INTEGRATE

Data acquisition

Sources characterized by authority, precision, cadence, and completeness.

  • EO imagery
  • Vector
  • Tabular
  • Sensors

03 · MODEL

Spatial modeling

Methods chosen for the claim they must support.

  • Spatial statistics
  • Remote sensing
  • Graph analysis
  • Machine learning

04 · VALIDATE

Uncertainty and validation

Every consequential output carries a test of whether it deserves trust.

  • Error
  • Sensitivity
  • QA/QC
  • Lineage

05 · DELIVER

Decision product

Output matched to the role, cadence, and decision.

  • Map
  • Model
  • API
  • Brief
  • Application

The same sequence produced a federal GEOINT methodology, tactical interface requirements, a theater cyber architecture, and a precision-agriculture platform. Inference stays separate from decision at every step: evidence produces confidence, geometry produces risk, and mission context combines them without altering either.

Technical evidence matrix

Where each capability is demonstrated

A claimed competency is only as good as the work that shows it. Each dot links to the case-study section that carries the evidence.

Capability-to-evidence matrix: each dot links to the case-study section that documents the capability
CapabilityCBO–TGRACRUX + ATAKSpectral SignaturesC2IMSudanCamp Fire
Spatial analysis
Remote sensingnot demonstratednot demonstrated
Systems architecturenot demonstratednot demonstrated
Product requirementsnot demonstratednot demonstrated
Uncertainty modelingnot demonstratednot demonstratednot demonstrated
Data integration
Validation / QA
Decision support

Read across a row to see how a capability recurs; read down a column to see the range one engagement demanded. Column headers open the case study.

Experience

Fourteen years across defense, intelligence, product, and applied research

  1. 2025–2026

    USC–NGA Cooperative Research and Development Agreement

    Methodology Lead / Principal Architect, CBO–TGRA

    Geospatial methodology · evidential reasoning · uncertainty

  2. 2019–2020

    Elysian Labs

    Product Manager, tactical human-machine interaction

    ATAK · mission workflows · physical interfaces

  3. 2018–2019

    Insight Engines

    Solutions and product, cybersecurity domain

    Natural-language investigation · Splunk · customer workflows

  4. 2008–2018

    Defense and intelligence

    U.S. Indo-Pacific Command J63 · CJTF-HOA J39 · U.S. Air Force Special Warfare

    Mission systems · architecture · operations

Full chronology and education

Selected research · presentations · technical writing

Methods documented so they can be challenged

  • Technical specification · 2025–2026

    CBO–TGRA methodology and architecture specification

    Mission decomposition, formal methods, schemas, interfaces, governance, validation, and analyst procedures for the USC–NGA CRADA.

  • Structured review · 2025

    Spectral Signatures in the Vineyard: remote sensing of grapevine water stress

    Eight-stage comparative evaluation of 2015–2025 research: four sensor classes, four platforms, and more than 20 indices judged against plant physiology.

  • Presentation · LA Geospatial Summit 2025

    Categorizing Chaos: Tropical Cyclones

    ArcGIS StoryMap explaining cyclone formation, basin naming, and the Saffir-Simpson scale through four 2024 storms under one assessment template.

  • GEOINT brief and StoryMap · 2025

    Sudan Food Security GEOINT Assessment

    TCPED-structured intelligence brief with stated confidence by region; team submission to the LA Geospatial Summit with faculty endorsement.

  • Classified CONOPS · INDOPACOM J63

    C2IM reference architecture and CONOPS contributions

    Data-source mapping, DoDAF definitions, architecture material, and co-authored ArcSight CONOPS elements published at the Secret level.

  • Winning technical proposal · CJTF-HOA J39

    Geospatial media analysis operations and maintenance

    Primary technical author of the winning response to an approximately $4 million annual requirement, with requirement-to-deliverable traceability.

About

Incomplete observations of the physical world, converted into reliable operational understanding

My work centers on one recurring problem: how to turn partial, uncertain observations into decisions that can be defended. I approach it through geospatial science, remote sensing, spatial data engineering, uncertainty modeling, systems architecture, and decision-support design.

Thirteen years in U.S. Air Force Special Warfare supply the operational context. An M.S. in Human Security and Geospatial Intelligence from the USC Spatial Sciences Institute supplies the analytical discipline. Current interests: Earth observation, geospatial AI, physical AI, 3D reconstruction, positioning and localization, autonomous systems, sensor integration, spatial computing, and machine-readable representations of the physical world.

Professional identity, education, and research interests

Contact

h@hunter.bz

Defense and intelligence, robotics and autonomy, infrastructure, disaster response, and other mission-critical environments.