
ML model deployment with Modal
Serving and deploying a sticker sales forecasting machine learning model using Modal.
Machine learning engineer and software developer with 7+ years across the ML lifecycle from problem scoping, data engineering to building, serving, deploying, monitoring and integrating models into software applications.
I am available for freelance & contract work

EDA, feature engineering, model building
Serving, deploying, testing, monitoring, integration
Python
HTML, CSS, JavaScript, Reactjs, Next.js, FastHTML
A selection of recent work across machine learning, data science, and web development.

Serving and deploying a sticker sales forecasting machine learning model using Modal.

Doing Matrix Multiplication from scratch (using just python , its standard library, matplotlib) in Solveit.

Serving and deploying a binary classification machine learning model using BentoML.

An AI system for assisted differential diagnosis based on the Uganda Clinical Guidelines.

Comprehensive walkthrough of Stable Diffusion, starting from the theoretical foundations and building up to a complete implementation.



A classification model to predict whether a mushroom is edible or poisonous from its physical characteristics.

A classification model to predict which customers respond positively to an automobile insurance offer.


An AI lab building practical AI use cases in the most cost-effective way possible.
A Ugandan coffee house covering the whole value chain — growing, buying, processing, roasting, and export of coffee beans.

Solving programming puzzles and challenges from the Advent of Code series.
I possess over 7+ years of hands-on machine learning experience, building ML systems from the ground up. I can implement diverse architectures from scratch — from gradient boosting and basic neural networks to the large-scale networks behind today’s generative AI, including image generation and large language models.
I’m proficient with Python, PyTorch, fastai, and sklearn, and have 9+ years building software applications with HTML, CSS, JavaScript, React, Next.js, and other modern web technologies.
A strong foundation in software engineering, working across every stage of the machine learning lifecycle: