Elomunait John Omoding

Elomunait John Omoding

John Elomunait is an Electronics and Communications Engineer whose passion for electronics sparked in high school after first encountering Fundi Bots, where he was introduced to the possibilities of robotics. This early interest has since evolved, expanding into Data Science and Machine Learning due to their transformative potential. He has two months of experience in router configuration and fiber splicing for FTTx from an internship at Simba Fiber, where he worked as a Technical Support. Through his efforts, network speed for clients improved by at least 40%, and he optimized network efficiency by extending Wi-Fi coverage using ethernet-connected routers, which reduced client-reported issues by 20% through effective collaboration.

 

In his third year of university, John studied sensors, computer networks, microcontrollers, and embedded systems, where he realized that the need for data drives the creation and advancement of these hardware technologies. He then completed courses in Python and Machine Learning on LinkedIn and Microsoft Learn and participated in the 2023 AWS DeepRacer Student League Challenge, where he learned the basics of Reinforcement Learning. His success in this challenge earned him the AWS AI and ML Scholarship for 2023, valued at $4,000, allowing him to pursue the AI Programming with Python and AWS Machine Learning Fundamentals Nanodegree programs through Udacity. Over the course of this year-long program, he developed six AI and ML projects.

 

John has maintained his passion for electronics through the Fundi Bots Fundi@Work Internship program, where he and a colleague developed a medicine dispenser, called the Saidia Pill Dispenser, designed to improve medication adherence through timely reminders for patients and caretakers. This project also allowed him to learn 3D design using SOLIDWORKS, with which he created parts for 3D printing and CNC machining to fabricate actuators and frames for electronic components of the Saidia Pill Dispenser.

 

Currently, John works at Sama, where he deepens his understanding of data by engaging in data collection, curation, and annotation processes, as well as the human-in-the-loop approach to improving ML models. This has given him a greater appreciation for how this process supports model improvement for ML Engineers. His work at Sama involves maintaining high-quality data standards using workflow management tools and a continuous feedback loop to optimize data labeling and curation efficiency, consistently adhering to guidelines that ensure compliance with best practices.

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  • Organization
    Samasource Impact Sourcing Inc.
  • Profession
    Data Associate
  • Young AI Leaders Community

    Member
    March 2025 - 2029
    Kampala Hub
    Africa
    Uganda