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Matthew Mangano

[email protected]

Experience

Aerospace Control Dynamics, Cincinnati, OH Simulation, Controls, and Software Engineer | August 2012 - Present BELCAN CORPORATION, Cincinnati, OH

Controls Engineer | March 2008 - 2012 GULFSTREAM AEROSPACE, Savannah, GA Flight Control Engineer II | May 2006 March 2008

NATIONAL AIR AND SPACE INTELLIGENCE CENTER, Dayton, OH Aerospace Engineering Co-op | June 2004 - Sept. 2005 Created threat simulators and integrated component models with the FLAMES architecture.

AIR FORCE RESEARCH LABORATORY, Dayton, OH Aerospace Engineering Co-op | Jan. 2003 - Mar. 2004

Technical Skills

Tools : DOORS, Visual Studio, MS Office, Tecplot , Gridgen , Mathematica, AutoCAD, Catia AI & Agentic Coding Integrated LLMs into daily dev workflow to automate requirements → code → tests loops using OpenAIs tool-calling and structured outputs; enforced schema validation ( pydantic ), safe retries, and deterministic prompts to keep changes reviewable in Git.

Built an agentic copilot for control-law tooling that plans multi-step tasks (retrieve context, generate MATLAB/Python stubs, create unit tests, and write docs), invokes MATLAB Engine from Python when needed, and opens PRs with CI checks.

Created a lightweight code-aware RAG pipeline over internal repos (chunking, embeddings, semantic search with source citations) to ground generations for specs, migration notes, and API examples.

Added LLM assistants to the toolchain: code review bot, doc summarizer, test-case generator, and migration helper (MATLAB UI → PySide6/QML), wired into GitHub/GitLab CI so outputs are validated before merge.

Selected technologies: OpenAI API (Responses w/ tool-calling & structured outputs), Python, MATLAB Engine, PySide6/QML, FastAPI , pydantic , Typer CLIs, GitHub Actions/GitLab CI, Docker, Kubernetes, ArgoCD , vector search/RAG

Additional Technical Experience Home Lab