Summary
Brad Llewellyn is a founding engineer and architecture-focused back-end leader with eight years of experience building AI-enabled, cloud-native analytics systems and a deep grounding in statistics. He has driven responsible AI and security initiatives at Microsoft’s Core Search and Bing AI, coordinating large cross-team migrations and cost-saving efforts that delivered multimillion-dollar annual savings. At Bliro he’s applying that expertise to build a privacy-first meeting summarization product, blending ML, cloud architecture, and ethics. Comfortable liaising between engineers, product, and customers, he has a track record in FastTrack engagements, mentoring, and operationalizing ML platforms used by hundreds of engineers. With an MS in Statistics and early research and tooling experience in R and C++, he brings both rigorous quantitative thinking and pragmatic engineering to complex data problems. Based in Munich, he also organizes local BI meetups and writes about practical analytics, reflecting his commitment to community and knowledge-sharing.
7 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at University of South Carolina