01

Selected work

Hyperspectral AI · Planning · Applied AI · Change assurance · Decision systems · Backend security · Model evaluation

Work,
with evidence.

Seven flagship projects. Different technical domains, one selection rule: every project must show how it was tested, measured or validated.

01531automated tests
02285spectral bands adapted
030.921best zero-shot AUROC
Flagship systems

The shortest path
through the work.

Start here if you are evaluating me for an engineering role. Every entry opens a detailed system, evidence or research path.

01Hyperspectral foundation models

SpectraShift

A wavelength-aware foundation-model benchmark for 285-band satellite imagery with leakage-safe splits, calibration evidence and explicit failure analysis.

285 spectral bands0.533 hematite AUPRC27 tests
Read the case study
02Algorithm engineering

Adaptive Planning Lab

A deterministic multi-agent pathfinding lab with delay injection, selective recovery, replayable traces and independent validation.

1,200 seeded cases70 tests3 planning strategies
Read the case study
03Applied AI system

Forge training-data engine

A source-to-release pipeline with governance, deduplication, contamination controls and content-addressed evidence artifacts.

12 stages242 tests7 release gates
Read the case study
04AI change assurance

AI Change Evidence Engine

A webhook-driven assurance system that turns GitHub change events into deterministic evidence without inventing approvals or control results.

11 requirements21 tests3 event classes
Read the case study
05Environmental decision systems

ClearCurrent water evidence

A deterministic decision-support system that exposes stale, missing, conflicting and synthetic water-quality evidence before advice is shown.

9,656 source records35 tests6 failure replays
Read the case study
06Backend security

Authentication microservice

A TypeScript identity service with MFA, OAuth, token rotation, theft detection, rate limiting and structured audit logs.

136 tests25 endpoints14 security layers
Read the case study
07Foundation-model research

Retinal model evaluation

Four foundation models compared across three retinal benchmarks under zero-shot and limited-label conditions.

0.921 AUROC3 benchmarks78-page thesis
Read the research
Selection standard

A project is not
the interface alone.

01

System

Working software with explicit boundaries, interfaces and failure modes.

02

Evidence

Tests, benchmarks, statistical results or a supervised research artifact.

03

Judgement

The decisions, trade-offs and constraints that explain why the system looks this way.

Technical depth

The proof continues
inside each system.

Open a case study for the architecture, correctness contract, evaluation protocol, security controls, limitations and source material. The portfolio stays deliberately small so every claim can be inspected.

Start with SpectraShift