Martin Koome
AI Engineer & Researcher
Specializing in Probabilistic Graphical Models and Applied Machine Learning at Carnegie Mellon University. Building scalable AI solutions that solve real-world problems and deliver measurable impact.
AI Engineer & Researcher
Specializing in Probabilistic Graphical Models and Applied Machine Learning at Carnegie Mellon University. Building scalable AI solutions that solve real-world problems and deliver measurable impact.
Passionate about creating scalable AI solutions that deliver organizational and societal value
Vice President
Master's student in Engineering Artificial Intelligence at Carnegie Mellon University Africa, specializing in Machine Learning, Deep Learning, and Probabilistic Graphical Models.
I build and deploy scalable AI systems, develop cloud-ready applications, and create solutions that bridge cutting-edge research with practical implementation.
With a strong foundation in data science and statistics, I excel at transforming complex datasets into actionable insights. My expertise spans the entire AI lifecycle, from research and model development to deployment and monitoring.
PyTorch, Transformers, Probabilistic Graphical Models, LLMs, RAG systems
Survival Analysis, Statistical Modeling, Time Series, Data Engineering
Docker, Git, Cloud deployment, System automation
Designing and implementing retrieval-augmented generation pipelines and probabilistic graphical models for real-world applications.
Led Campus Link at CMU Africa, aimed at streamlining student services through AI. Conducted a STEM student dropout study in Kenya, demonstrating measurable impact.
Community Spirit Award at CMU, First Class Honors graduate, 7th ranked Kenyan on Zindi with 70+ ML challenges completed.
Academic excellence and professional recognition
Carnegie Mellon University Africa
Kigali, Rwanda
Concentration: Probabilistic Graphical Models and Applied Machine Learning
Multimedia University of Kenya
Nairobi, Kenya
First Class Honors
Coursework: Measure and Probability, Operations Research, Time Series Analysis, Stochastic Processes, Survival Analysis
Carnegie Mellon University Africa
Outstanding collaboration and leadership during induction
Zindi Africa
Largest platform for data scientists and AI builders in Africa with 70+ challenges completed
Multimedia University of Kenya
Graduated with distinction in Mathematics and Computer Science
MMU Tech Community
Mentored 50+ students for over two years in data science track
Have a project in mind or want to collaborate? Let's connect and create something impactful together.
I'm always interested in new opportunities, innovative projects, and collaborations in AI, machine learning, and data science. Whether you have a project idea, research opportunity, or just want to connect, feel free to reach out.
Current Focus: Probabilistic Graphical Models, Applied ML, RAG Systems, AI for Social Impact