5
3
Kenya
3+ years of experience
Am a software engineer, DevOps Engineer and AI Engineer with experience in developing scalable backend solutions in python and it's frameworks, crafting CI/CD pipelines to automate deployment and building ML models using PyTorch and Tensorflow.

GraniteFit is a cutting-edge AI-powered platform that revolutionizes health tracking and workplace automation using IBM’s Granite AI. It integrates advanced AI-driven analytics, natural language processing (NLP), and predictive modeling to enhance productivity and well-being. Designed to cater to both corporate professionals and healthcare providers, GraniteFit offers a seamless experience by automating reminders, scheduling tasks, and improving personal and workplace efficiency. This AI-driven assistant not only simplifies daily tasks but also ensures a healthier lifestyle by sending personalized reminders for medication, hydration, physical activity, and work-related tasks. The system can intelligently analyze user behavior, predict needs, and provide real-time insights to optimize workflow and personal health. Leveraging IBM Granite AI, it ensures a highly scalable, secure, and adaptive AI model that evolves based on user interactions.
23 Feb 2025
.png&w=828&q=75)
CardioCare is an AI-powered cardiovascular disease diagnosis and treatment recommendation system. It analyzes key health metrics such as body temperature, blood pressure, and cholesterol levels, along with medical reports (PDFs), to detect potential heart conditions early. Using DeepSeek AI, it provides personalized treatment plans, including diet, exercise, medication, and prevention tips. The system is designed to be affordable, accessible, and scalable, making advanced healthcare available to underserved communities. With a user-friendly interface and cloud-based deployment, CardioCare empowers individuals to take control of their heart health while reducing the burden on healthcare systems through early intervention and AI-driven insights.
16 Feb 2025

The Smart Space Habitat Manager is a cutting-edge AI-driven solution designed to autonomously manage life-support systems in space habitats like the International Space Station (ISS), lunar bases, and Mars colonies. This system integrates real-time astronaut health monitoring, machine learning-based predictive maintenance, and statistical anomaly detection to prevent failures before they occur. By leveraging Random Forest regression models for failure prediction and statistical analysis for anomaly detection, it ensures a safe, self-sustaining environment without constant human intervention. Live sensor data tracking oxygen levels, temperature, CO₂ concentration, humidity, and power usage provides instant alerts for potential risks, enabling proactive decision-making. With its automated monitoring, predictive AI models, and real-time anomaly detection, this project represents a crucial step toward the future of sustainable space exploration, ensuring that astronauts remain safe while humanity expands beyond Earth
9 Feb 2025