I have hands-on experience in machine learning, deep learning techniques, and microcontroller programming, and I strive to leverage technology to develop practical and efficient solutions. When I'm not working on engineering projects, you can find me hiking, playing chess, or cycling.…

Dishan Otieno

I have hands-on experience in machine learning, deep learning techniques, and microcontroller programming, and I strive to leverage technology to develop practical and efficient solutions. When I'm not working on engineering projects, you can find me hiking, playing chess, or cycling.…

Available to hire

I have hands-on experience in machine learning, deep learning techniques, and microcontroller programming, and I strive to leverage technology to develop practical and efficient solutions. When I’m not working on engineering projects, you can find me hiking, playing chess, or cycling.

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Skills

Experience Level

Raspberry Pi
Expert
Python
Intermediate
3D Design
Intermediate
C++
Intermediate
Keras
Intermediate
TensorFlow
Intermediate

Language

English
Advanced

Work Experience

Engineering Apprentice at Surgeons Lab, Image Guided Therapy Group, ARTORG Center for Biomedical Engineering Research, University of Bern
December 31, 2025 - July 24, 2025
Designed and developed electronic products for healthcare applications. Analyzed requirements, developed detailed hardware specifications and circuit designs. Conducted worst-case condition analyses, circuit simulation, hardware realization, PCB design and review, prototyping coordination, board testing, and design validation. Maintained engineering documents to meet quality system requirements. Collaborated with software and mechanical engineering teams for project management, product validation, and manufacturing support while interacting with customers.
Technology Intern at Technology Cluster, Safaricom PLC
December 31, 2024 - July 24, 2025
Configured Remote Electrical Tilts (RET) and maintained Safaricom Base Transceiver Stations (BTS). Supported telecom infrastructure and rollout of BTS. Conducted data analysis for BTS regional locations.
Student Intern at College of Aviation & Technology (CATECH)
December 31, 2023 - July 24, 2025
Conducted research on potential, construction, components, and operation of Li-ion batteries for eVTOLs. Studied the structure, operation, parameters, and design aspects of eVTOL.
Undergraduate Research Assistant at Center for Data Science and Artificial Intelligence (CDSAIL), Dedan Kimathi University of Technology
December 31, 2023 - July 24, 2025
Collected data using Raspberry Pi 3 microcontroller. Designed and fabricated the DSAIL PondLive device that monitors fishpond water quality parameters to promote data-driven aquaculture for both small-scale and large-scale farmers.
Junior Machine Learning Engineer at Omdena Community
December 31, 2023 - July 24, 2025
Led the Omdena community Kiambu chapter in Kenya. Led the development of a chatbot project and conducted research and data analysis on collaborative machine learning projects.
Industrial Attaché at Directorate of Engineering and Construction, State Department of Industrialization, Ministry of Industrialization, Trade & Enterprise Development
December 31, 2022 - July 24, 2025
Involved in projects related to iron and steel, automotive sector, electronics industry, and agricultural machinery.

Education

Bachelor of Science at Dedan Kimathi University of Technology
January 1, 2019 - December 31, 2024
High School Diploma at St. Stephens Shiatsala Secondary School
January 1, 2015 - December 31, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Telecommunications, Computers & Electronics, Agriculture & Mining, Manufacturing
    paper Burnout Predictor

    🧠 Problem Workplace burnout is a growing global issue, affecting both employee well-being and organizational performance. Many organizations struggle to identify early signs of burnout due to a lack of real-time tools and data-driven insight.

    🎯 Goal The goal of this project is to build a machine learning-powered tool that can predict the risk of burnout using employee behavior, demographics, and workplace indicators — enabling proactive interventions before burnout escalates.

    💡 Solution Burnout Predictor is a Streamlit-based web application that leverages an XGBoost model trained on balanced data using SMOTE and refined with a custom threshold for precision.

    Repo link: https://www.twine.net/signin