Andrew Ang is a Senior Machine Learning Engineer with 11 years of experience building ML systems and foundation models at AWS, currently working on Bedrock and Titan for generative AI. He previously helped customers across industries as part of the Amazon Machine Learning Solutions Lab and spent multi-year research and engineering roles at Harvard and MIT, where he built data infrastructures for millions of learners and analyzed biosensor and trading data. Andrew blends research rigor and production engineering—designing scalable ML architectures, real-time adaptive learning systems, and end-to-end deployments on AWS. He holds biomedical engineering and advanced statistics training and a business analytics credential, which informs a pragmatic approach to translating domain needs into ML solutions. Notably, his background spans both academic research and high-scale cloud product work, giving him unusual fluency in experimental science and production-grade ML. Based in Boston, he focuses on pushing generative AI capabilities while keeping models reliable and operational.
Contributions:10 releases, 22 commits, 67 PRs in 7 months
adaptivemachine-learning
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