<ANTONIO R>

Engineering Projects

Core architectural tracks and technical engineering executions

Raspberry PiSPIEmbedded CAnalog Design★ Featured
In ProgressCURRENT

Indirect Cylinder Pressure Measurement

Designed a modular high-speed data acquisition (DAQ) system for indirect internal combustion engine pressure measurement using strain gauges mounted vertically and horizontally on a head bolt.

  • Developed a two-stage analog front-end utilizing amplifiers to condition and scale 5–100 μV micro-strain signals into a 0–5V range for digital conversion.
  • Validated strain-derived pressure signals against direct piezoelectric transducer measurements to verify measurement fidelity and combustion phase correlation.
  • Engineered a C-based backend architecture on a Raspberry Pi 4 to achieve deterministic sampling rates up to 90 kS/s.
  • Interfaced an AD5592R analog-to-digital converter via SPI to acquire engine cycle data synchronized to a 720-pulse incremental crankshaft encoder.
  • Implemented real-time data visualization featuring multi-cycle signal overlay and DMA-buffered data logging for offline analysis.
CAN BusHarness DesignCatiaV5
In ProgressCURRENT

Vehicle Electrical Harness Design and Manufacturing

Designed and built a full-vehicle wiring harness integrating 60+ sensors, an ECU, dual daisy-chained CAN buses, and a data logger.

  • Cut harness manufacturing time from 45 to 13 hours by developing a repeatable, staged process: wire outlining, 3D and 2D layouts, layup and splicing, continuity testing, concentric twisting, termination, and final validation.
  • Reduced harness weight by 44% through wire routing, voltage drop-based gauge sizing, and lightweight component selection.
  • Developed a custom wire gauge calculator to optimize thermal, electrical, and packaging constraints.
ESP32Computer VisionFuzzy Logic
In ProgressCURRENT

AI-Driven RC Car With Fuzzy Logic Motor Control & Computer Vision for Playing Live Pac-Man

Developed a fuzzy logic controller for motor control, enabling an RC car to autonomously navigate and avoid obstacles while tracking or evading a target.

  • Built a computer vision neural network to detect and classify tagged targets for real-time avoidance behavior.
  • Deployed embedded AI on an ESP32 microcontroller, integrating sensor input, vision processing, and control logic.
PCB DesignAltium Designer
In ProgressCURRENT

Body Control Module

Implemented a Darlington transistor array to activate 12V relays using a 3.3V digital output.

  • Designed a PCB to distribute power to high and low current circuits, reducing EMI produced by high current traces through a neighborhood PCB design and extensive ground planes.