Full systems, not isolated code. Design, simulation, firmware, and field testing.

TVC Rocket

A thrust-vector-controlled rocket is unstable by default. The goal was to maintain controllability across transitions like burnout while handling real sensor noise and actuator limits.

• Controls
• Teensy firmware
• IMU + barometer
• Simulation and flight testing

Problem: Regime transitions and disturbances caused instability and oscillation.

Contribution: I designed and tuned a PD/LQR-oriented controller, implemented real-time firmware, and integrated sensing plus actuation into a single flight stack.

Outcome: Stable controlled flight under test conditions with measurable reduction in angle error and oscillation.

Metrics to publish: Max angle deviation, settling time, and simulation-vs-flight error.

Flight Simulator Cockpit (Multi-Axis Motion)

Built a motion-capable cockpit system that maps simulation output to physical movement with deterministic timing.

• Control loop design
• Actuator integration
• Latency management

Problem: Motion quality degrades quickly under latency and mis-tuned control.

Contribution: I architected the control path from simulation signal ingest to actuator commands and tuned response behavior for stability and realism.

Outcome: Improved response consistency and reduced drift/jitter under repeated runs.

Metrics to publish: End-to-end latency, tracking error, and repeatability variance.

Payload Drop Assist / Targeting System

Developed a targeting assist workflow for precision payload release, with emphasis on controllable error and practical deployment.

• Targeting logic
• Automation
• Field constraints

Problem: Environmental variability made manual targeting inconsistent.

Contribution: I built the estimate-and-release pipeline and refined it with iterative field data.

Outcome: Higher drop consistency and tighter error bounds compared to baseline manual operation.

Metrics to publish: Mean drop error radius and error reduction versus baseline.

Embedded Sensor Fusion System

Built an embedded estimation layer combining IMU and barometric data for cleaner state feedback in noisy conditions.

• Sensor fusion
• Embedded C/C++
• Noise and drift handling

Problem: Raw sensors produced noisy and drifting state estimates.

Contribution: I designed and tested filtering/fusion logic tuned to realistic motion and vibration profiles.

Outcome: More stable attitude/altitude estimates for downstream control loops.

Metrics to publish: RMS error, drift rate, and estimate variance before vs after fusion.

FTC Robotics (In Development)

Competition robotics work focused on control reliability and integrated subsystem behavior under match constraints.