Projects

Jul 29, 2025 ยท 2 min read
AI and machine learning

Research ยท Engineering ยท Innovation

Building at the frontier of AI and data science.

A selection of projects spanning machine learning, recommender systems, ecological modelling, and the open-source tools that power modern AI research.

Research & Engineering Projects

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Deep Learning for Ecology

AIMS South Africa ยท 2024

Applying deep learning models to ecological classification and species detection tasks. Explores convolutional and transformer-based architectures for biodiversity monitoring across African ecosystems.

Python PyTorch Computer Vision Ecology
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Movie Recommender System โ€” ML at Scale

AIMS South Africa ยท 2024

A scalable movie recommender system using Alternating Least Squares (ALS) matrix factorisation, capable of delivering personalised recommendations from both implicit and explicit user feedback at scale.

Python PySpark ALS Collaborative Filtering
View on GitHub โ†’

Civic Technology & Governance

Independent initiatives at the intersection of technology, democracy, and public accountability.

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Kenya Economic Survey 2026 โ€” Digest

Independent Civic Initiative ยท 2026

An accessible, interactive digest of Kenya's Economic Survey 2026, distilling key economic indicators, sectoral performance, and policy insights for the public. A contribution to techno-democracy โ€” making government data understandable and actionable for every citizen.

Civic Tech Open Data Governance Kenya

Tools & Frameworks

Open-source libraries at the core of my research and engineering stack.

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PyTorch

Python deep learning framework used across research projects โ€” from computer vision models to weather prediction experiments with strong GPU acceleration.

Deep Learning GPU Tensors
GitHub โ†’
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Pandas

Flexible and powerful data analysis and manipulation library for Python. The foundation of every data pipeline and exploratory analysis in my workflow.

Data Analysis DataFrames Python
GitHub โ†’
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scikit-learn

Python machine learning library built on SciPy. Used for classical ML pipelines, model evaluation, and benchmarking alongside deep learning approaches.

ML Pipelines Classification Evaluation
GitHub โ†’