Bethany Jepchumba is a Cloud Advocate at Microsoft with seven years of experience blending design, coding, and community leadership to help students, developers, and entrepreneurs adopt AI and cloud technologies. She creates practical learning content—articles, workshops, and talks—and contributes hands-on to notable open-source projects like Microsoft's "generative-ai-for-beginners," where she adapted Jupyter notebooks to integrate Azure OpenAI features such as summarization, classification, and embeddings. With a background in program coordination at Andela and as a Microsoft Learn Student Ambassador, she excels at skilling communities and turning complex AI concepts into approachable learning experiences. Based in Nairobi, she pairs a BSc in Business Innovation Technology Management with business decision-making training from Ivey, and outside tech she channels creativity into sketching, trying new hobbies, and a family tradition of marathon running—except she prefers to "run code."
7 years of coding experience
Modcom Institute
Ivey Business Decision Making Course, at Jomo Kenyatta University of Agriculture and Technology, Ivey Business Decision Making Course, at Jomo Kenyatta University of Agriculture and Technology at Ivey Business School at Western University
BSc. Business Innovation Technology Management, BSc. Business Innovation Technology Management at Jomo Kenyatta University of Agriculture and Technology
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Role in this project:
ML Engineer
Contributions:3 PRs, 4 comments, 3 issues in 11 months
Contributions summary:Bethany primarily contributed to the project by modifying and adapting existing code, specifically within Jupyter notebooks related to building chat applications and using Azure OpenAI services. Their work involved integrating OpenAI's API, setting up prompts, and implementing functionalities like text summarization and classification, as well as exploring embeddings. The user's focus was on leveraging generative AI models for various use cases.
Contributions:4 PRs, 141 pushes, 2 branches in 1 month
podcast
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