I create innovative solutions in AI, machine learning, and data science. Let's build something great together.
Get in TouchI am an AI developer with a background in machine learning, computer vision, and cloud computing. My passion lies in solving complex problems in the different industries, bringing diverse perspectives and innovative solutions to global challenges. With experience in both Azure and AWS, I am equipped to handle a wide range of data-driven projects. Whether it's building predictive models, developing cloud-based applications or analysis of complex data, I am dedicated to driving results and making a positive impact.
Building predictive models and deploying machine learning solutions in production environments.
Analyzing large datasets to uncover insights and drive decision-making.
Expertise in AWS and Azure, including EC2, S3, Lambda, and more.
Developing scalable applications and automating workflows using Python.
Experience in EHR integration and healthcare data analysis.
Proficient with Docker, Kubernetes, Git, and other developer tools.
April 2024 – Present | Nairobi, Kenya
March 2023 – March 2024 | Nairobi, Kenya
August 2018 – January 2019 | Nairobi, Kenya
Developed an AI-driven system for predicting patient outcomes, improving treatment efficiency, and reducing hospital readmissions.
Implemented a scalable data analytics platform on AWS, processing large healthcare datasets for actionable insights.
Built and deployed a serverless application using AWS Lambda, reducing operational costs and improving scalability.
"Sammy's expertise in AI and cloud computing is exceptional. His work on our predictive analytics project was instrumental in achieving our business goals."
"Sammy has a unique ability to break down complex problems and deliver innovative solutions. His dedication and attention to detail are unmatched."
If you're interested in working together or just want to say hi, feel free to reach out. You can contact me via email at samkakimani@gmail.com or connect with me on LinkedIn and GitHub.