A Decade at the Edge of Physics and Hardware

EOL & Atmospheric Demise Architecture

Lead Systems Engineer, Re-entry & Demise

Spearheading the end-of-life (EOL) and atmospheric demise architecture for large-scale satellite constellations, ensuring 100% compliance with global debris mitigation standards and FCC/ITU regulations.

Leading the cross-functional development of thermal and structural demise simulations to predict spacecraft fragmentation behaviors, optimizing component design to minimize ground casualty risk. Developing automated trade-study frameworks to evaluate re-entry survivability across diverse hardware configurations, bridging the gap between high-level mission requirements and detailed subsystem manufacturing.

Reentry & Space Ops Platform

Head of Reentry System Development

Architected vehicle-level reentry systems from zero-to-one. Owned technical risk posture and vehicle roadmap. Secured $250k Navy STTR and authored proposals for $15M+ in government contracts. Built and scaled high-performing engineering team.

NASA Tipping Point "Blue Alchemist"

Multi-physics Simulations Engineer, Advanced Concepts & Enterprise Engineering

Led technical maturation of critical thermal/fluid interfaces for $35M NASA Tipping Point "Blue Alchemist" reactor. Architected integrated multi-physics frameworks to bridge simulation with manufacturing data.

HPC GPU Portfolio Optimization

Sr. Member of Technical Staff, Software System Design Eng.

Led CFD optimization and benchmarking for AMD's HPC GPU portfolio. Recipient of AMD Next 5% Award for contributions to MI300A launch. Developed HPC performance optimization methodologies adopted across GPU enablement efforts.

GPU-Accelerated CFD & Computational Physics

Graduate Student Research Assistant & Computational Sciences Graduate Intern

University of Michigan (01/2014 - 05/2020): Performed CFD analysis on flow separation reduction strategies. Developed high-fidelity simulation software in modern C++ for hypersonic flow simulations. Published 5+ scientific publications in peer-reviewed venues.

Los Alamos National Laboratory (06/2019 - 08/2019): Collaborated on core-collapse supernova modeling. Refactored C/C++ scientific code to reduce computational bottlenecks with multi-threading and GPU programming.

Where I First Encountered the Manufacturing Bottleneck

Graduate Engineer Trainee & B.E. Project Trainee

Graduate Engineer Trainee (07/2012 - 07/2013): Handled end-to-end capital procurement and developed cost models with annual net savings of 10%+.

B.E. Project Trainee (11/2011 - 04/2012): Achieved 40%+ daily production increase through FMEA-driven process redesign. Reduced lead time to order dispatch by 1.5x. This experience revealed the fundamental disconnect: engineering constraints are not just physics — they are manufacturing systems. The precision component assembly line taught me that the limiting factor is rarely the theoretical limits of physics, but rather the operational complexity of translating design into production.