Machine Learning & Software Engineer
Building responsible, inclusive AI for low-resource contexts
Machine Learning and Software Engineer with 4+ years of experience in designing, developing, and deploying AI/ML solutions, including LLM-based systems for data classification and automation in fintech and government applications.
Skilled in leading AI tool integration for evidence search/retrieval, synthesis workflows, and policy-facing platforms in low-resource African settings, translating business problems into scalable use cases like multilingual conversational AI serving 50M+ users, using Agile and cross-functional collaboration.
Proficient in prototyping, training, validating, and optimizing AI/ML models (e.g., deep learning, NLP, generative AI) with frameworks like PyTorch, Rasa, and OpenAI, while ensuring ethical AI principles, data privacy, and model governance through documentation, testing, and integration into production environments on cloud platforms (Azure, AWS, GCP).
Excel in ambiguous, distributed teams, calm in chaos; driving process improvements, data analysis, and scalable deployments to meet targets, with a commitment to inclusive, unbiased AI for sustainable development in multicultural contexts, with a focus on bias mitigation and ethical AI governance in low-resource African contexts.
International Centre for Evaluation and Development (ICED)
February 2026 – April 2026
Led the design and integration of AI-enabled tools to support evidence synthesis, systematic reviews, and policy decision-making.
International Labour Organization (ILO)
June 2025 – December 2025
Developed and deployed an LLM-powered document classification and ranking tool that reduced processing time from 3 days to under 5 minutes.
THiNK
2023 – 2025
Built multilingual conversational AI systems and automation tools for government and fintech platforms serving millions of users.
Sendy
2021 – 2023
Contributed to logistics and payments infrastructure across five African countries.
2026–2027 Mozilla Fellow (Embedded)
Co-designing and co-creating Bias Lens tool with journalists, content creators and fact checkers through hackathons and community workshops.
Piloting the open-source dashboard with over 100 journalists to support ethical, human-centered AI adoption in newsrooms and civic spaces across low-resource contexts.
delphine nyaboke - Mozilla Fellow
2026-2027 Mozilla Fellows
Co-design hackathons at Baraza Media Lab hubs. Each room: a highlight cut, then interviews.
August 2026
First co-design room with journalists, content creators, and fact-checkers.
Highlight
Video
August 2026
Second session.
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August 2026
Third session.
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August 2026
Final Session.
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An open-source dashboard that surfaces cultural bias and misinformation, focusing on the 2027 Kenyan elections as a primary use case. Co-built with journalists, content creators, and fact-checkers.
Open biaslens.org →Contributed to the Swahili portion of the Global PIQA benchmark for physical commonsense reasoning in low-resource languages.
Improved model for monkeypox detection using modified VGG16 and explored architectures like ConvNext for enhanced accuracy in data processing
Integrated datasets for ML-based forecasting, involving data processing and analysis at election-year-country level.
Developed conversational chatbot using Rasa, OpenAI, and LLMs for educational information management.
Collaborated on LLM system to streamline patient appointment booking, focusing on data processing and integration.
Built interface for science education in Kinyarwanda using LLMs, supporting information management in low-resource settings.
A few moments that ground me ...
With kids
With daughter and partner
Partner with kids
Partner
Me
2020
Feel free to reach out for collaborations, speaking, or just to say hello.