Project case studies

Project proof you can evaluate, not just promises.

A representative sample of programs delivered across control systems, simulation, embedded validation, and estimation-heavy engineering. Details are anonymized where contracts require it.

  • Aerospace

    Robust flight control for a fixed-wing aircraft

    Designed and validated SISO and MIMO controller families with robustness testing across full flight regimes.

    Custom algorithmsSimulation & validation
    • Improved control confidence before field trials through simulation-first validation.
    • Documented operating envelopes to support safer test planning and faster iteration.
  • Aerospace

    6-DOF aerodynamic simulation environment

    Built a high-fidelity simulation stack used to evaluate control behavior before flight testing.

    Simulation & validationCustom algorithms
    • Reduced uncertainty between design and verification phases.
    • Created a reusable foundation for future controller and estimator development.
  • Aerospace

    AHRS / INS sensor fusion

    Developing an extended Kalman filter pipeline to combine inertial, magnetic, and aiding sensors into a stable state estimate.

    Custom algorithmsEmbedded systems & IoT
    • Structured estimator architecture for evolving hardware configurations.
    • Designed for traceable tuning and maintainability over time.
  • Automotive

    Embedded test infrastructure for a global OEM

    Supported validation workflows across CAN telemetry and embedded toolchains for large-scale vehicle programs.

    Embedded systems & IoTAnalytics & decision tools
    • Improved repeatability in test execution and data collection.
    • Connected embedded validation details to higher-level engineering decisions.
  • Research

    Model-based fault detection with state-space estimators

    Applied estimator-based residual generation to detect and isolate faults before they propagate into system-level failures.

    Custom algorithmsAnalytics & decision tools
    • Built residual logic tied to physically meaningful system states.
    • Improved diagnosability by separating sensor anomalies from model uncertainty.
  • Research

    UAV propeller thrust estimation study

    Built a repeatable workflow to estimate propeller thrust from flight-test telemetry, supporting stronger model calibration and controller tuning.

    Analytics & decision toolsCustom algorithms
    • Improved confidence in propulsion model parameters before control design loops.
    • Created a reusable processing pipeline for future propulsion experiments.

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