Design Engineer Aircraft

Robert P. Pasque

Aerospace Engineer

**** ******* ***, #* **. Louis, Missouri 63139 ***.******@*****.*** 314-***-****

US Citizen -- former DoD Secret security clearance

Summary

Aerospace Engineer with a broad range of experience from early-stage conceptual to detailed part design. Particularly adept at creating unique solutions and discovering, investigating, & incorporating new technologies. Learns new ideas & disciplines exceptionally quickly. Thrives in self-motivating, “auftragstaktik”/high-autonomy/entrepreneurial environments.

Skills

Aircraft conceptual design and sizing Vehicle performance calculation Model-based system optimization Detailed part build-to package (BTP) development Reverse engineering / competitive assessment Researching 3rd party technologies Sizing tools – ACS, AAA, and SUAVE MDO Frameworks – Isight and HEEDS Programming – MATLAB and Python Parametric CAD – NX and OpenVSP Analysis – Knowledge of CFD, FEA, and FSI, including STAR-CCM+, XFlowCFD, StressCheck, and SimSolid Productivity – MS Office

Areas of Experience

Multidisciplinary Design Optimization (MDO) / Conceptual Aircraft Sizing and Performance

Conducted numerous trade studies of advanced aerospace vehicle concepts using AVID LLC’s ACS (AirCraft Synthesis), Stanford University Air Vehicle Environment (SUAVE), Roskam’s Advanced Aircraft Analysis (AAA), MATLAB, and Dassault/SIMULIA’s Isight (an MDO framework). Uncovered and implemented optimization capability within ACS.

Conducted, collaborated, and contributed to over 20 separate conceptual design studies (including ground vehicles, new aircraft concepts, and competitive assessments) for AFRL, DARPA, NAVAIR, US Army, USMC, and internal customers.

Created an optimized UAV design which increased range (key performance parameter) by 67% over existing design.

3D Geometry Development

Constructed and executed CFD-quality, parametric geometry models of conceptual aircraft configurations in OpenVSP and Siemens’ NX CAD (using expressions and sketcher).

Produced detailed part geometry, GD&T, and notes for major sub-assemblies and parts.

Research

Researched cutting-edge computer systems when existing hardware proved insufficient. Successfully proposed the purchase non-standard, BOXX overclocked computers; these machines increased engineering efficiency by enabling the group to run ACS Design of Experiments and Optimizations at 2x the previous speed.

Initiated evaluation and promoted adoption of Red Cedar Technology’s HEEDS MDO, which was found to be a superior optimization tool compared to both other commercial MDO tools and internally developed methods.

Performed extensive literature search to create analytical models of radar performance and diesel engine performance in MATLAB.

Professional Experience

The Boeing Company (Jun 2019 – Jul 2020)

Configuration Design Engineer: transitioned from Met-L-FLO contract labor to full-time Boeing position. Continued low-cost conceptual design activities started while working for Met-L-FLO. Produced aerodynamic surrogate models using artificial intelligence / machine learning techniques. Produced MATLAB 6-DoF to evaluate design controllability. Developed parametric geometry aircraft models in various CAD APIs. Generated conceptual aircraft configurations using various parametric aircraft sizing tools. Developed aircraft performance analysis sub-routines programming in Python.

Met-L-FLO (Oct 2018 – Jun 2019)

Aerospace Engineer: contract for work at Boeing, conducting multidisciplinary optimization and design in support of a low-cost conceptual design program.

American Cyber Systems (Oct 2016 – Feb 2018)

Aerospace Engineer: Contract work for Boeing in support of a multirole fighter crew station redesign. Produced BTPs for 5+ major sub-assemblies. Coordinated with multidisciplinary team to ensure parts met requirements. Produced results significantly faster than peers (time to complete geometry, GD&T, and notes).

Spike Aerospace (Jul 2016 – Oct 2016)

Aerospace Engineer: Pro bono work for a supersonic business jet startup. Created parametric geometry model in NX for CFD optimization. Generated critical sizing/analysis data to engage potential investors. Trained two interns on the fundamentals of parametric geometry.

Entrepreneurship (Feb 2014 – Mar 2015, Dec 2015 – Jul 2016)

Founder: Personally attempted to start an aircraft design company. Produced a detailed business plan, researching market, competitors, and potential partners. Networked with the St. Louis startup ecosystem and sought potential investors.

Synergetic Industries LLC (Mar 2015 – Dec 2015)

Aerospace Engineer: Contract work at Boeing in support of a jet trainer, forward fuselage design. Produced BTPs for 30+ parts. Coordinated with multidisciplinary team to ensure parts met requirements. Produced results significantly faster than peers.

The Boeing Company (Jan 2011 – Feb 2014)

Configuration Design Engineer: Conducted conceptual design sizing and performance using MDO approaches. Developed parametric geometry models in NX. Conducted independent research to improve group productivity. Produced analytical models based on Internet research.

The Boeing Company (Jan 2009 – Aug 2010)

Engineering Intern: Multiple rotations as part of an engineering intern/co-op program.

Jan 2009 – May 2009: Analyzed structural components for a legacy multirole fighter as part of manufacturing sustainment.

May 2009 – Aug 2009: Developed MATRIXx codes to visualize and analyze test results on a weapons program.

May 2010 – Aug 2010: Optimized aircraft and ground vehicle designs as part of an advanced concepts group.

Education

Washington University in St. Louis (Aug 2006 – Dec 2010)

Bachelor of Science in Aerospace Engineering

GPA: 4.0/4.0. Honors: Valedictorian, Summa cum laude.

Certification

Udemy: 2020 Complete Python Bootcamp: Go from Zero to Hero in Python (April 2020)

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