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EXPLORE TECHNICAL FRONTIERS WITH

Mogaka Obed,
the Embedded Systems Engineer.

"Transforming visionary concepts into tangible human-centered solutions with the power of cutting-edge technology is my passion."

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What I do

Embedded Systems

  • Firmware development (C/C++).
  • MCU families: Arduino, AVR, STM32, and ESP32.
  • MCU protocols: SPI, UART, I2C, CAN, BLE.
  • Sensor and actuator interfacing.
  • Real-Time Operating Systems: FreeRTOS.
  • Low power and resorce efficient design.

Hardware

  • Digital & analog circuit design.
  • PCB design - Altium Designer
  • Hardware debugging, simulation and testing
  • Lab equipment: Multimeter, Oscilloscope, & Logic analyzers.
  • Hands-on soldering and rework.
  • Debugging: SWD, JTAG, and SEGGER.

Programming

  • Programming in C, C++, Python, and JavaScript.
  • Web technologies: HTML5, CSS, JS, NodeJS.
  • Keen on clean and efficient code.
  • Version control and collaboration - Git.
  • Documentation

Embedded ML

  • Machine Learning and Deep Neural Networks.
  • Frameworks: TensorFlow-Keras, PyTorch.
  • CNN pruning and quantization.
  • TensorFlowLite, TensorRT, & Edge Impulse.
  • Raspberry Pi, Jetson SBCs, & ESP32.

FPGA Design

  • Hardware Description Languages: VHDL, Verilog.
  • High-Level Synthesis (HLS) and OpenCL for FPGA acceleration.
  • FPGAs tools: Vivado, Vitis-HLS, Vitis IDE.
  • Hardware-software co-design - Algorithm and AI acceleration on FPGA

Product Development

  • Indepth online or personalized training.
  • Multiple domains: IoT, DSP, computer vision, agriculture, home or industrial automation, & consumer products.
  • Rapid prototyping.
  • Continuous innovation and research.

Résumé

Experience

Electronics/Electrical Engineer-Space Systems

Sayarilabs, Nairobi, Kenya

Nov 2020 ‐ Jan 2022

  • Spearheaded the development of advanced satellite systems, including the Sayarilabs Payload Processor.
  • Procured, qualified, and optimized Commercial Off-The-Shelf (COTS) electronics for space missions.
  • Directed meticulous electrical testing campaigns to ensure the reliability and functionality of critical systems.
  • Space Systems
  • Electronics

Junior Embedded Hardware Engineer

8teq Solutions LTD, Nairobi, Kenya

Sep 2019 ‐ Oct 2020

  • Led the design and implementation of innovative embedded device systems.
  • Played a pivotal role in analyzing and enhancing the efficiency, stability, and scalability of embedded IoT systems.
  • Demonstrated expertise in hardware design, debugging, and test automation for optimal results.
  • Embedded Systems
  • IoT
  • Research

Education

MSc. Electronics and Communication Engineering

Egypy-Japan University of Science and Technology (E-JUST)

Alexandria, 21934 , Egypt.

March 2022 ‐ Present

  • Research Thesis: An FPGA-Based Deep Learning Accelerator for Remote Sensing Applications.
  • Research Interests: FPGA Design, Embedded Machine Learning, Deep Learning, Image Processing and Computer Vision
  • Research
  • MSc

BSc. Electrical and Electronic Engineering

Jomo Kenyatta University of Agriculture and Technology (JKUAT)

Nairobi, 62000, Kenya.

Sept 2014 ‐ Sept 2019

  • Graduation Project: A Moderm Microcontroller Training Kit for JKUAT Microprocessor labs.
  • Second Class, Upper Division
  • Power
Download Detailed CV →

Featured Projects

I'm thrilled to showcase a selection of my personal projects...

View more projects→

TK2560

  • Based on Atmega2560 MCU.
  • PCB Design- Altium Designer.
  • Firmware - Embedded C.
  • Fabrication and assembly.

Embedded ML

  • Edge Speech Recognition.
  • Using Arduino Nano RP2040.
  • Edge Impulse platform
  • Efficient Machine Learning at the edge.
My photo at the lab
A photo of me in collaboration with my colleges on a project
A photo of jetson board
A photo of me with a raspberry pi board with a pcb background
A photo of me in the office coding
A photo of me coding out in the open

Discover My Insights

Explore my YouTube videos and blog posts for a wealth of knowledge and inspiration in the world of embedded systems and technology.

Artificial Intelligence, Machine Learning, Deep Learning. What's the difference?

AI

Technology

10-minute video

5 Jan 2020

Fruit Classification in Arduino Using the KNN Algorithm.

Embedded ML

Arduino

6-minute video

3 Feb 2023

Arduino Lab for MicroPython

MicroPython

Arduino

5-minute video

11 Months ago

Introduction to Arduino

Electronics

Arduino

20-minute video

3 Years ago

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