Bio
Principal AI Engineer at SonderMind, Akele Reed leads the team behind the company's conversational AI mental health feature and has served as a primary architect of its guardrails and evaluations framework. Her work sits at the intersection of AI capability and responsibility, designing systems that earn trust through rigorous safety pipelines, human expert feedback loops, and continuous oversight in one of the highest-stakes domains in healthcare. Akele is passionate about making AI trustworthy not just in theory, but in production and building the infrastructure and culture that allow engineers and clinicians alike to confidently rely on AI-powered tools. She brings over nine years of experience in applied AI and model training, including her previous role at 23andMe, and holds a Master's degree in Computer Science from Georgia Tech. Away from the screens, she enjoys hiking, beekeeping, and baking.
Session (1)
Additional Speaker Details
Using publicly available information we constructed an analysis to help you get a feel for this speaker before deciding to attend their session.
Principal AI Software Engineer at SonderMind with 8+ years of engineering experience, including 7 years focused on AI/ML model development and training, particularly deep learning. Prior roles at 23andMe, Northrop Grumman, and NASA Langley Research Center. Holds an MS in Computer Science from Georgia Tech. Acknowledged (not an author) in 23andMe's PRSformer deep-learning genomics manuscript.