The work, in chapters.

A career spent translating complex systems into things teams can design, test, and trust.

Spacecraft systems → autonomous-vehicle testing → production vehicle systems → agentic AI for engineering.

Agentic AI for systems engineering

Current focus at NVIDIA

I manage a generative AI software team focused on AI agents, multi-agent systems, retrieval-augmented generation, and workflows for systems engineering.

01The work applies retrieval, graph-based reasoning, and critique-driven iteration to complex engineering artifacts.
02Role-specific agents collaborate on requirements, test cases, simulation code, and validation.
03I am listed as primary inventor on patent-pending work titled “Agentic Workflows for Managing and Testing System Requirements.”

— RAG + graph reasoning— Critique-driven iteration— Requirements + tests

Illustrative orchestration

Agentic systems studio

A fictional workflow showing the direction of the work—not a proprietary NVIDIA interface.

01 · Researcher

Retrieval

Finds relevant source material and constraints for the fictional engineering prompt.

Active artifact

System under design + verification

01 Researcher

Retrieval

02 Requirements analyst

Graph reasoning

03 Critic

Critique

04 Test designer

Test generation

05 Linter

Validation

Human review gate

Outputs

System models
Test suites
Interface specs
Risk assessments
Design rationale

Active artifact

System under design + verification

01 · Researcher

Retrieval

Finds relevant source material and constraints for the fictional engineering prompt.

Human review gate

Outputs

System models
Test suites
Interface specs
Risk assessments
Design rationale

Illustrative evidence backbone

From scenario to deployment

A domain-neutral view of how complex physical-world systems move toward evidence-backed readiness.

01 · active stage

Scenario

Define the environment, objective, and boundaries.

evidence captured

feedback retained

Verification loop

Learning returns to the next scenario

Verification loop ↺

Learning returns to the next scenario.

Evidence archive

Research, patents, and systems in the world

From Napkin to Orbit in 9 Months; The TechEdSat Spacecraft MissionProject manager and first author

EcAMSat — NASA’s First 6U Biological SpacecraftCo-author of the system integration and environmental test report

EcAMSat spaceflight measurements of antibiotic resistance in microgravityCo-author of the published spaceflight-results paper

Affordable Vehicle Avionics SystemGranted patent
Named inventor on U.S. Patent 10,669,045, a NASA-assigned guidance, navigation, and control architecture for nano- and micro-launch vehicles.

Agentic Workflows for Managing and Testing System RequirementsPatent pending
Primary inventor on patent-pending work applying agentic workflows to the management and testing of system requirements.

Formal record

NVIDIA

Manager, Software Systems

December 2022–present

Santa Clara, California

Generative AI and product systems engineering.

NVIDIA

Senior Software Systems Engineer

August 2021–December 2022

Santa Clara, California

Document- and model-based systems engineering.

Lyft

Staff Quality Engineer

February 2020–August 2021

Palo Alto, California

Autonomous-vehicle verification and validation.

Cruise

Senior Systems Test Engineer

June 2018–January 2020

San Francisco, California

Perception testing, simulation, and automatic test generation.

NASA Ames Research Center

Internship and contractor assignments

September 2010–June 2018

Moffett Field, California

Nearly eight years across spacecraft systems, testing, mission operations, launch integration, UAV radio links, and UTM systems engineering.

San Jose State University

Aerospace Engineering

B.S. · 2007–2012

M.S. · 2012–2014

Technical toolbox

A curated record of experience, not a claim of equal mastery.

AI + machine learning

— Large language models
— Retrieval-augmented generation
— Multi-agent systems
— LLM evaluation
— Fine-tuning
— Vector databases

Systems + infrastructure

— Kubernetes
— Docker
— Cloud-native microservices
— CI/CD
— Scalable verification frameworks

Programming + tools

— Python
— TypeScript
— JavaScript
— C
— Kotlin
— Swift
— MATLAB
— GCP
— AWS

Honors

01Aerospace Engineering Outstanding Leadership Award
02Outstanding Aerospace Engineering Award
03CHARM Spacecraft Development Team Group Achievement Award
04TechEdSat Project Team Group Achievement Award
05Space Flight Awareness Team Award

Further context

product outcomeNVIDIA DRIVE AV Software Debuts in All-New Mercedes-Benz CLANVIDIA product outcomeMB.DRIVE ASSIST PRO: Navigation and Driving Assistance MergeMercedes-Benz program contextAffordable Vehicle AvionicsNASA Technology Transfer Program mission contextNASA’s TechEdSat Launches from International Space StationNASA

Resolving route…

Agentic AI for systems engineering

Current focus at NVIDIA

I manage a generative AI software team focused on AI agents, multi-agent systems, retrieval-augmented generation, and workflows for systems engineering.

01The work applies retrieval, graph-based reasoning, and critique-driven iteration to complex engineering artifacts.

02Role-specific agents collaborate on requirements, test cases, simulation code, and validation.

03I am listed as primary inventor on patent-pending work titled “Agentic Workflows for Managing and Testing System Requirements.”

— RAG + graph reasoning— Critique-driven iteration— Requirements + tests

Illustrative orchestration

Agentic systems studio

A fictional workflow showing the direction of the work—not a proprietary NVIDIA interface.

01 · Researcher

Retrieval

Finds relevant source material and constraints for the fictional engineering prompt.

Active artifact

System under design + verification

01 Researcher

Retrieval

02 Requirements analyst

Graph reasoning

03 Critic

Critique

04 Test designer

Test generation

05 Linter

Validation

Human review gate

Outputs

System models
Test suites
Interface specs
Risk assessments
Design rationale

Active artifact

System under design + verification

01 · Researcher

Retrieval

Finds relevant source material and constraints for the fictional engineering prompt.

Human review gate

Outputs

System models
Test suites
Interface specs
Risk assessments
Design rationale

Formal record

NVIDIA

Manager, Software Systems

December 2022–present

Santa Clara, California

Generative AI and product systems engineering.

NVIDIA

Senior Software Systems Engineer

August 2021–December 2022

Santa Clara, California

Document- and model-based systems engineering.

Lyft

Staff Quality Engineer

February 2020–August 2021

Palo Alto, California

Autonomous-vehicle verification and validation.

Cruise

Senior Systems Test Engineer

June 2018–January 2020

San Francisco, California

Perception testing, simulation, and automatic test generation.

NASA Ames Research Center

Internship and contractor assignments

September 2010–June 2018

Moffett Field, California

Nearly eight years across spacecraft systems, testing, mission operations, launch integration, UAV radio links, and UTM systems engineering.

San Jose State University

Aerospace Engineering

B.S. · 2007–2012

M.S. · 2012–2014