Early years
Foundations in AI and ML
The first phase of work focused on building technical depth across machine learning and the wider AI landscape.
AI Research and Education
Responsible AI, Clearly Taught.
Clear, thoughtful, credible and human. Dr Ananya Rao brings twelve years of work in artificial intelligence and machine learning to speaking engagements, workshops, research writing, and advisory work on responsible AI.
Focus
Responsible AI
Applied machine learning and AI education.
Expertise
Her work centers on making AI understandable for technology leaders, conference audiences, universities, researchers, founders, and professionals who want to use it with care. The emphasis is always on learning, curriculum, and outcomes that people can apply in real settings.
Speaking engagements
Ideas, frameworks, and examples shaped for conference rooms and classrooms.
Workshops
Hands-on sessions that translate responsible AI into practice.
Research and writing
Technical articles and education pieces that explain complex ideas clearly.
12 years
Working in artificial intelligence and machine learning.
45+ talks
Speaking and workshops delivered for public and professional audiences.
3,000+ learners
Students and professionals taught through AI and machine learning education.
Journey
Early years
The first phase of work focused on building technical depth across machine learning and the wider AI landscape.
Teaching
AI education became a central thread, with material designed to be clear, rigorous, and accessible.
Talks and workshops
Conference sessions and workshops expanded the work from one-to-one teaching into broader conversation.
Now
Current focus: applied machine learning, responsible AI, and education that helps teams move carefully.
Selected writing
Technical writing
18 research and technical articles that translate methods, trade-offs, and responsible use into readable form.
Education
Material built for students, professionals, and leadership teams learning AI at different levels.
Advisory
Thoughtful support for early-stage technology teams shaping their adoption of AI.
How people use the work
The strongest fit is with audiences that need AI explained carefully: leadership groups, classrooms, public events, and teams making early decisions about responsible adoption.
Contact
Send a concise inquiry with your organization, what you are planning, and the kind of audience you have in mind. The message will be reviewed and followed up on directly.