Cofounder, Divas in AI
Current and ongoingI manage sponsorship and partnerships and lead AI research in the organisation, which trains and mentors young women in AI skills.
Roles I hold, communities I serve and things I build alongside the main work.
I manage sponsorship and partnerships and lead AI research in the organisation, which trains and mentors young women in AI skills.
I volunteer with the Laboratory for Intelligent Global Health Technologies on end to end speech research for medical note taking.
I am a working group member of IEEE P4011, focusing on building climate and disaster resilient solutions.
I will serve on the publications committee for Deep Learning Indaba 2027 in South Africa.
A weekly series where we review AI papers and then implement them.
Educational videos on NLP, MLOps, and responsible AI. Making frontier research accessible, especially for engineers on the African continent who were never meant to be left behind.
I served as a member of the publications committee for Deep Learning Indaba 2026 in Nigeria, where the conference took place in August 2026.
I organised and taught at hackathons, trainings, boot camps and cohorts on Python, Data Science, Azure and technical writing. The community grew from 20 to over 2,000 members and was selected as one of the Microsoft Campus Club pilot communities.
I was part of the GitHub Campus Experts programme.
I organised research workshops, led community based research projects and managed social media. In 2024 we hosted our first full day research workshop at Deep Learning Indaba.
I helped organise accessibility, safety and inclusion at Deep Learning Indaba 2025.
I reviewed papers submitted to the Women in Computer Vision Workshop at ECCV.
I reviewed papers for the African NLP workshop at ICLR.
I reviewed tiny papers for the International Conference on Learning Representations.
As a WiDS 2022 ambassador I organised conferences and skill up events for women, including the International Women's Day conference and data science boot camps.
I volunteered to teach Python and machine learning to students and professionals at the yearly DSN AI cohorts, and tutored the community in boot camps and trainings.
An AI system combining YOLOv8 vision and LLMs to interpret video data and generate recipe suggestions, a multimodal AI agent.
Automatically converts movie clips from landscape to portrait, using the focal point of the video to rescale the frame while matching the image to the speaker audio.
Cultivating large scale, high quality, culturally rich speech data for African languages. Because our voices deserve to be heard, and learned from.
A scheduled autonomous agent that scrapes and structures high volume e-commerce data with GitHub Actions and Python, integrated with Azure Blob Storage for data versioning and downstream analytics.
View on GitHubFine tuned BERT and Whisper on African datasets for fake news detection at CJID, the Centre for Journalism Innovation and Development. Supporting press freedom with AI.
Detecting plastic waste on rivers from drone images. I split large aerial images into annotated tiles, fine tuned YOLOv5 to detect 3 types of plastic waste and used drones for data collection and testing.
View on GitHubBuilt and deployed a retrieval augmented generation application on Azure, using LangChain for orchestration and a vector database for embeddings. It reached 50% faster retrieval and integrates with Azure OpenAI services.
View on GitHubA custom ML model estimating Soil Organic Matter from satellite imagery for Rural Farmers Hub, a 20% accuracy improvement over baseline, helping smallholder farmers make better decisions.
Built a space tech solution that placed in the global top 10 out of 3,000+ participants, turning a weekend hackathon into a globally recognised project.