- Zambian 🇿🇲 | Canadian 🇨🇦
- Bachelor's of Software Engineering Co-op, McGill University, 2025 🏫
- MSc in Advanced Computer Science (Artificial Intelligence), University of Oxford, 2026. Thesis in AI Safety 🏰
- Passionate about building safe AI systems that are conscious of the fundamental assumptions underlying them 🏗️
- Committed to a systematic process unfolding at the grassroots around the world to build vibrant communities and a better society 🌱
Most of my software development experience is with proprietary, closed-source production code that I cannot share. This was over the course of 4 internships in Industry:
- ML Intern @ Autodesk
- Demonstrated technical leadership on a team of 4 to deliver from the ground up a secure, scalable, and centralized cloud platform that supports MCP servers and hosts and runs customized LLMs and agents on demand
- Full Stack Developer Intern @ Autodesk
- Designed and implemented a full-stack feature for monitoring background jobs within Flow Production Tracking, an engineering Emmy and Sci-Tech Oscar award-winning software used by major movie and game design studios worldwide
- Software Developer Intern @ Coveo
- Completely redesigned and implemented the object-oriented, multithreaded + multi-process architecture for a large testing bot in Python, nearly doubling its size, and deploying it to the cloud with a 60% slimmer docker image in a Kubernetes container
- Co-op Software Developer @ Teranet
- Heavily implicated in architectural and technical upgrades to source and test code for both business methods and security systems of 3 large legal applications
- Existing Defenses Against Distillation Attacks Fail To Prevent Stealing Reasoning 🛡️
- Master's Thesis with OATML under the supervision of Yonatan Gideoni and Yarin Gal. Code to be released soon.
- Paper in the Technical AI Governance Research workshop @ ICML 2026
- Exploring the Effect of Geometric Information on Message Passing 📈
- Comparing 5 of the most popular GNN architectures for molecular property prediction, and examining how their different uses of geometric information affect message passing
- Extending Deep Bayesian Active Learning with Image Data 🖼️
- Replicating the results of work with the same title (see here), clarifying minor errors, and running additional experiments
- ImagiNeuron - Machine Intelligence for Neuron Detection (MIND) 📷
- An 8-month research project to develop a cutting-edge approach to automatically label and visualize 3D high-resolution images of neurons in the brains of rats. We are preparing a paper for submission to IEEE Transactions on Image Processing, entitled "A Platform for the Semi-automatic Segmentation, Characteristic Shape Analysis and Simulation of Neuronal Somas"
- Applied Machine Learning 🤖 - A collection of 4 machine learning projects and papers, with high-quality writing and results (average grade of 97%)
- Bias in Natural Language Inference Systems 📘
- A project investigating gender bias in Natural Language Inference systems in a more nuanced and novel way (see paper)
- Purposeful 🤔
- An application to encourage students to collaborate on ideas that are purposeful, and address needs in their community
- Mesmorize 🧠
- An application to help people with memorization. Built in response to a need I saw in my community
- Operating Systems ⚙️
- Three projects in C, including multi-processing and pipeing to build a custom terminal, multi-processing to create a task scheduler, and designing and building a custom file system. Did not receive permission to release code
- SearchScripting 🔍
- An application to streamline the search through messages of the Universal House of Justice (see here). Built in response to a need I saw in my community. GitHub repository coming soon!
- Fire Fighting Robot 🔥
- Python code to control a robot built with the Brick Pi with Lego, Lego motors, and Lego color sensors
- Software Validation 🏁
- Spring Boot Application to write unit tests, functional tests, and performance tests for a dummy application (average grade of 100%)
- Circuit Simulation 🔌
- An approach using MatLab and Monte Carlo simulation and polynomial chaos to simulate the behavior of a simple circuit
During my recent internship at Autodesk in Machine Learning, I worked closely with agentic workflows and MCP servers. I closely followed the development of Amazon Strands from the day it was released, and contributed suggestions and feedback to the way it orchestrates multi-agent workflows