AI systems engineer · Data scientist · Economist · Builder
Selected work areas
A capability-based view of my work across AI, data, and engineering. Employer-sensitive details, internal systems, and proprietary data are intentionally excluded.
01 · Engineering context
Applied and exploratory work where engineering meaning, data quality, validation, and technical judgment matter as much as the model.
Current professional context
Generalized public summary
Applied AI systems at a major aircraft manufacturer, including fuselage, airframe, and major aircraft component engineering contexts.
Collaboration includes engineers and technical stakeholders working with major aircraft components. No internal project names, systems, datasets, aircraft details, or engineering results are represented here.
Scientific computing
Personal proof of concept
Exploring how experimental design, simulation-oriented data, and surrogate models can support faster analysis while preserving clear validation boundaries.
NasgroPy is a small personal Python proof of concept used to explore these methods. It uses no employer code, proprietary data, licensed outputs, or restricted engineering results.
02 · Reliable AI systems
Evaluation engineering practices for understanding model behavior, retrieval quality, failure modes, and the role of human review.
Evaluation engineering
Capability area
Designing repeatable ways to test LLM behavior, inspect retrieved context, analyze failures, and connect evidence to practical operating decisions.
Review & feedback
Capability area
Structuring annotation, expert review, and feedback loops so uncertainty remains visible and decision ownership stays with the right people.
03 · Domain systems
Work around technical language, specialized documents, publishing, and repeatable workflows where generic automation is not enough.
Language & knowledge
Capability area
Turning specialized documents and terminology into structured, understandable information without hiding source provenance or the need for domain interpretation.
Independent infrastructure
Capability area
Building small, durable workflows for content preparation, review, static-site generation, and controlled delivery with low operational overhead.
Professional context
I am open to thoughtful professional conversations, future opportunities, and selected collaborations.