David Tan

Software Design Engineer 3 at Torch Technologies (2026-06 – Present)

Developed C++ and Python software for IAMDSIM modeling and simulation tools, supporting model development, simulation execution, debugging, and integration across 3 software components.
Resolved simulation software defects using Git, Visual Studio, Linux, and unit/integration testing, improving reliability and reducing repeat issues by approximately 15%.
Supported requirements review, design, coding, code reviews, test documentation, and integration, helping reduce integration rework by about 10%.
Collaborated with software, systems, and simulation engineers to integrate model updates.

6-DOF Modeling & Simulation Engineer at I3 (2026-03 – 2026-06)

Developed and validated high-fidelity 6-DOF missile simulation models (C++), including implementation of autopilot control logic for LRPM and integration of guidance, sensor, and flight dynamics components across programs including Hydra-70 and APKWS; increased simulation throughput by 30%, reducing validation cycle time and enabling faster performance assessment.
Executed verification and validation (V&V) simulation studies, translating requirements into testable scenarios and running Monte Carlo analyses to evaluate system performance; identified model discrepancies and improved accuracy, reducing rework and increasing confidence in mission-critical results.

Software Engineer at ALKU (2024-09 – 2026-01)

Engineered high-fidelity 6-DOF missile flight dynamics simulations (C++, Python) in support of U.S. Air Force programs including the LGM-35A Sentinel program, applying numerical integration and sensor modeling to increase trajectory prediction accuracy by 25% and strengthen confidence in performance assessments.
Diagnosed and resolved simulation inconsistencies by analyzing flight behavior and refining underlying model assumptions, improving model fidelity and reducing downstream validation effort.

Software Engineer II at Space Dynamics Laboratory (2023-01 – 2024-09)

Implemented high-fidelity 6-DOF missile simulation components (C++, Python) within existing flight dynamics frameworks, contributing to U.S. Air Force programs including the FORGE program and supporting trajectory prediction improvements of up to 25% through physics-based modeling and numerical methods.
Supported integration and verification of simulation models, analyzing outputs to identify inconsistencies and assist in refining system behavior, improving overall model stability and reliability.

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