Hi, I am Rubanza Silver
A machine learning engineer with a background in Software Engineering. I build end-to-end production-ready Machine learning systems. I can work and collaborate across any part of the machine learning pipeline, especially model development, testing, and deployment.
My Projects
A selection of my recent work in machine learning, data science, and web development.
ML model deployment with Modal
Serving and deploying a sticker sales forecasting machine learning model using Modal
ML model deployment with BentoML
Serving and deploying a binary classification machine learning model using BentoML
Building an AI medical assistant
Building an AI system for assisted differential diagnosis based on the Uganda Clinical Guidelines
Stable Diffusion from the Foundations
Comprehensive walkthrough of Stable Diffusion, starting from the theoretical foundations and building up to a complete implementation.
Binary Prediction of Poisonous Mushrooms
A classification model to predict whether a mushroom is edible or poisonous based on its physical characteristics.
Binary Classification of Insurance Cross Selling
A classification model to predict which customers respond positively to an automobile insurance offer.
Antelope Classifier
After training a machine learning model you need to deploy it to show potential stakeholders what the results would look like with a decent UI, not jupyter notebooks to achieve any sort of buyback from the people/business that potentially want and can pay for this type of service.
Flexible Functions Website
Flexible functions AI is an AI lab that is building practical AI use cases in the most cost effective way possible.
Zigoti Coffee Website
Zigoti Coffee is a Ugandan coffee house that covers the whole value chain from growing, buying, processing, roasting, and export of Ugandan Coffee beans.
About Me
I possess over 7+ years of hands-on machine learning experience with expertise in building ML systems from the ground up. I have deep knowledge of and can implement diverse architectures from scratch, ranging from gradient boosting and basic neural networks to sophisticated, large-scale neural networks that underpin today’s generative AI technologies, including image generation and the popular language language models
Machine Learning
Exploratory Data Analysis, Feature Engineering, Model Building
ML Deployment
Model deployment, testing, monitoring and integration into software solutions
Software Development
Python, PyTorch, fastai, sklearn, HTML, CSS, JavaScript, React
Web Development
Over 6 years of experience developing web applications with modern technologies
My Background
With a strong foundation in Software Engineering, I specialize in the intersection of machine learning and software development. My work encompasses various stages of the machine learning lifecycle:
- • Exploratory Data Analysis and Data Wrangling
- • Feature Engineering and Selection
- • Model Building and Evaluation
- • Deployment, Testing, and Monitoring
I am proficient with Python, PyTorch, and many other libraries such as fastai and sklearn. Additionally, I have over 6 years of experience developing software applications using HTML, CSS, Javascript, React JS, and other modern web technologies.