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Mark-kitur/README.md

Hi, I'm Mark Kimutai Kitur Mechatronic engineer and data scientist focusing on embedded systems,robotics, and AI-driven automation. I develop end-to-end intelligent systems that integrate hardware, software, and machine learning.

Embedded Systems Development

I build and deploy real-time systems using microcontrollers and single-board computers. My experience includes:

•	Bare-metal C development for microcontrollers (ATMega328P).
•	Communication protocols: I2C, SPI, USART.
•	Timer configuration, PWM generation, and ADC sampling.    
•	Hardware-software integration for sensing, actuation, and control loops.    
•	Deployment of ML models on ESP8266, Raspberry Pi, and other constrained devices.    
•	Embedded automation modules implemented in C .
  • Custom Linux image creation and build automation using Yocto Project and BitBake for scalable embedded deployments. Embedded projects

Yocto https://github.com/Mark-Kitur/mark_os

Automated Ligths https://github.com/Mark-Kitur/Automated-lights

Crop recommendation System on EPS8266 https://github.com/Mark-Kitur/crop_recomendation

communication protocals, ADC, PWM https://github.com/Mark-Kitur/My_embedded_world

weather https://github.com/Mark-Kitur/weather-

Sign language interpreter on RAS PI https://github.com/Mark-Kitur/audio_classification

AI, Machine Learning, and Software Engineering

I work across modern and traditional AI systems, including:

  •	Transformers and large-sequence models.    
  •	Computer Vision pipelines for detection, classification, and tracking.    
  •	Traditional Machine Learning (SVMs, Random Forests, clustering, regression pipelines).    
  •	NLP systems (Seq2Seq models, attention mechanisms, language modeling).    
  •	Deployment of models on:    
          •	Render      
          •	Raspberry Pi      
          •	ESP8266      
          •	Web backends running Ruby
          •	Flask

AI & ML Ptojects

transformer (attention is all you need) from scratch https://github.com/Mark-Kitur/Swahili_English-Translator

using YOLO to detect road defects https://github.com/Mark-Kitur/Road_Defects_detection

Data glacier project https://github.com/Mark-Kitur/BankBytes

GRU chatobt from scratch https://github.com/Mark-Kitur/GRU_chatbot

Crop recommendation Sytem on EPS8266 https://github.com/Mark-Kitur/crop_recomendation

Cart Pole RL https://github.com/Mark-Kitur/ros2_humble/tree/main/cart_pole

Ornithopter this contains ( Objects detections and RL) https://github.com/Mark-Kitur/Ornithopter_AI

Robotics

• KUKA KR210 Inverse Kinematics Solver – Analytical IK and ROS integration. • Kinematics, dynamics, and control experiments. KUKA KR-210 https://github.com/Mark-Kitur/kuka_robot

ros2_humble (learning) https://github.com/Mark-Kitur/ros2_humble

What I'm Currently Building • Deepening my expertise in Yocto Project for custom Linux distributions—layers, recipes, multiconfig, and embedded build optimization. • Transformer and CV workflows for automation tasks.

• Embedded ML inference modules on Raspberry Pi and ESP boards.

Pinned Loading

  1. crop_recomendation crop_recomendation Public

    🌾 Crop Recommendation System using Machine Learning This project is a web-based Crop Recommendation System built with Flask and scikit-learn. It uses machine learning to suggest the most suitable c…

    C++ 1 1

  2. mark_os mark_os Public

    C 1

  3. fruits_bbox fruits_bbox Public

    Jupyter Notebook

  4. kuka_robot kuka_robot Public

    Python 1

  5. My_embedded_world My_embedded_world Public

    embedded programing

    Makefile

  6. Road_Defects_detection Road_Defects_detection Public

    Jupyter Notebook 1