Jofrey Nasson

Google Summer of Code 2026 contributor. Merged 3 pull requests improving numpydoc documentation across the DIPY scientific Python library, used by neuroscience researchers worldwide. Collaborated with senior maintainers at international research institutions.

Google Summer of Code 2026 contributor to DIPY. Merged three pull requests improving numpydoc documentation for the DIPY scientific Python library used by neuroscience researchers worldwide.

Contribute to DIPY, a Python-based scientific computing library for neuroimaging analysis, under NumFOCUS, a nonprofit supporting open-source data science tools. Deliver multiple merged pull requests, working within a large, production-grade Python codebase and collaborative Git-based development workflow used across the scientific data community.

Building an AI Hub focused on making artificial intelligence accessible to developers, students, and businesses across East Africa. Focus areas: AI tools, business automation, research, and community education

Instructs undergraduate learners and delivers coursework in machine learning and AI. Teaches using Python-based approaches, including convolutional and recurrent neural network concepts.

Coordinate a multi-institutional AI research initiative building an AI-powered antimicrobial resistance (AMR) surveillance platform for Tanzania, working alongside the Principal Investigator and partner institutions (MRRH, NIMR, MCHAS-UDSM). Lead the design and drafting of large-scale research funding proposals (e.g., NIHR Global Health Research Themed Programme), defining data pipelines, analytic

Designed an end-to-end IoT-to-insight pipeline: sensor data collection (Raspberry Pi 4, Arduino Uno), a FastAPI backend, and a Scikit-learn Random Forest classifier for real-time water quality prediction. Authored the full technical project report and documentation, demonstrating the ability to move an AI system from raw sensor data to a deployable, explainable model.

Built and lead a 150+ member technical community organized into 7 specialized sub-groups covering AI, machine learning, and signal processing. Design and deliver hands-on training in Python, machine learning, and data science tools to students and early-career developers across East Africa. Manage end-to-end delivery of community initiatives — from technical curriculum and workshops to online pres

Teach undergraduate courses in computer programming, networking, and artificial intelligence, including Python-based data analysis and socket programming. Design exams, marking schemes, and structured study plans; regularly translate advanced technical material into accessible instruction for large student cohorts.