I build scalable systems, backend services, and data pipelines that turn raw information into useful insights and practical products.
Community work keeps my learning practical: mentorship, AI organizing, and student-led collaboration around technology.
Mbarara University of Science and Technology (MUCOSA)
Driving innovation through mentorship, collaborative learning, and hands-on projects under MUCOSA.
Global AI Mbarara — Global AI Community
Co-organising AI meetups, workshops, and events that connect Mbarara's AI ecosystem with the global community.
DeepMinds AI Mbarara
Leading student-driven AI research, learning sessions, and project initiatives under the DeepMinds AI chapter at Mbarara.
Selected work from my existing portfolio with a focus on analytics, machine learning, and system-oriented thinking.
An AI-driven pulse monitoring and analysis demo. Live demo: https://mubirueltonfelix1.github.io/PulseGuard-AI/#
Event-driven observability platform for capturing structured system events, tracing behavior over time, and accelerating debugging and performance analysis.
Computational mathematics lab where calculus is explored through symbolic analysis, numerical sampling, and visual interpretation.
Student-friendly CGPA calculator and forecaster for tracking progress, simulating future semesters, and planning toward a target CGPA.
I focus on building data-aware systems that are reliable, interpretable, and practical for real-world use.
Structuring datasets, cleaning noisy records, and preparing reliable data flows for downstream analysis and decision-making.
Using Python-based workflows to run exploratory analysis, probability-based reasoning, and reproducible technical experiments.
Designing clear service logic with a strong emphasis on scalability, maintainability, and predictable system behavior.
Turning complex outputs into understandable visuals and summaries that support technical and non-technical decisions.