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jreich218/README.md

Jason M. Reich

State Estimation / Autonomy Algorithms Engineer

I build state-estimation and autonomy algorithms in C++. My background spans Bayesian filtering, Kalman filtering, sensor fusion, localization, and numerics.

I’m currently focused on state estimation, localization, sensor fusion, and related autonomy roles.

Current public project

IMU + GPS Error-State Kalman Filter (C++ / Eigen)

Standalone IMU + GPS sensor-fusion project using an error-state Kalman filter (ESKF), with initialization, replay, and evaluation components for simulated/replayed IMU streams with synthetic GPS measurements.

Experience highlights

  • Lockheed Martin — production Bayesian/state-estimation algorithms in modern C++, validation, testing, and numerics
  • Topoleg — stochastic filtering, statistical gating, sensor logic, and patented systems work

Background

  • PhD, Chemical Physics
  • 2 U.S. patents
  • 4 peer-reviewed publications

Links

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  1. imu-gps-eskf imu-gps-eskf Public

    IMU+GPS sensor fusion in C++/Eigen using an error-state Kalman filter (ESKF) for localization.

    C++