I'm Hector Oga, a soon-to-be graduate electronics and embedded systems engineer with a passion for instrumentation, precision hardware, and automotive-tech applications. I'm especially proud of my work on high-precision instruments, real-time embedded firmware, and control-focused DSP. These are skills that I aim to bring into the world of control and instrumentation.
I also speak French, Spanish, and English, and have lived in 7 different countries!
- Sub-1% error impedance analyser (
$1kHz - 2MHz$ ,$10 - 1M\Omega$ ) - The IQ (In-phase/Quadrature) method for precise impedance extraction, implementing my own DSP framework using phasors and complex numbers
- PCB topology and design practices, minimizing parasitics to preserve signal integrity
- Firmware: STM32 bare-metal DAC/ADC with IQ demodulation
- Python GUI for real-time measurement and RLC fitting
- Complete hardware, software, and GUI stack delivered
- Music synthesiser capable of playing notes, with volume and octave control, recording functionality, changing waveform abilities
- Developed and optimised custom waveform synthesis
- Successfully implemented DMA and ping pong buffer access for real-time reads and writes to the same buffer through the STM32 HAL for a dramatic increase in performance of at least 300% over built-in methods
- Performed critical instant analysis of the rate monotonic scheduler, deadlock analysis, and oversaw shared resource managing
- Custom-trained machine learning model to analyse gym rep quality
- RaspberryPi in Python to collect accelerometer and magnetometer data, analyse reps using advanced signal processing methods
- Implemented real-time telemetry on a dual-sensor system. Built I2C interface to streamline speed and remove bloat
- Used statistical Kalman Filtering and sensor fusion algorithms for real-time denoising performance
- Leveraged machine learning to give a score based on workout quality.
- Programming: C, C++, Python, MATLAB
- Embedded Platforms: STM32, ESP32, Arduino, Raspberry Pi
- Signal Processing: DMA, ADC/DAC, UART, HAL, Kalman filtering, State Observers
- Tools: LTspice, Altium, STM32CubeMX, PlatformIO, Cadence
- Imperial College London
MEng Electrical and Electronic Engineering (2022-2026)
Dean’s List • Instrumentation, DSP, Control Systems
- LinkedIn: https://www.linkedin.com/in/hector-oga-050091251/
- Email: ogahector@gmail.com
Thanks for visiting! I’m always open to new ideas, projects, and collaborations, especially in automotive electronics, Formula 1 systems, or precision measurement engineering.