System
Working software with explicit boundaries, interfaces and failure modes.
Forward Deployed AI Engineer
Selected work
Hyperspectral AI · Planning · Applied AI · Change assurance · Decision systems · Backend security · Model evaluation
Seven flagship projects. Different technical domains, one selection rule: every project must show how it was tested, measured or validated.
Start here if you are evaluating me for an engineering role. Every entry opens a detailed system, evidence or research path.
A wavelength-aware foundation-model benchmark for 285-band satellite imagery with leakage-safe splits, calibration evidence and explicit failure analysis.
A deterministic multi-agent pathfinding lab with delay injection, selective recovery, replayable traces and independent validation.
A source-to-release pipeline with governance, deduplication, contamination controls and content-addressed evidence artifacts.
A webhook-driven assurance system that turns GitHub change events into deterministic evidence without inventing approvals or control results.
A deterministic decision-support system that exposes stale, missing, conflicting and synthetic water-quality evidence before advice is shown.
A TypeScript identity service with MFA, OAuth, token rotation, theft detection, rate limiting and structured audit logs.
Four foundation models compared across three retinal benchmarks under zero-shot and limited-label conditions.
Working software with explicit boundaries, interfaces and failure modes.
Tests, benchmarks, statistical results or a supervised research artifact.
The decisions, trade-offs and constraints that explain why the system looks this way.
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