Bo-Ting Wang

About Bo-Ting Wang

At Microsoft, my focus as a Software Engineer revolves around strengthening Azure\'s LLM offerings, with a special emphasis on aligning our AI capabilities to industry standards. Our team\'s dedication to enhancing data accessibility through integration with diverse data sources has significantly streamlined operations within Azure Machine Learning.My background in physics, crowned with a Ph.D, underpins my analytical approach towards developing robust LLM model validation and deployment processes. Drawing from over two years of experience in Machine Learning, I leverage Python and cloud technologies to build scalable AI solutions that drive innovation and reliability in machine learning platforms.

Experience

1. Software Engineer

   Microsoft

   Sep 2022 — Present

   Enhanced Azure Machine Learning\'s LLM (Large Language Model) offerings by implementing support for additional inference API parameters and aligning API specifications with OpenAI API standards- Developed and implemented LLM model validation, compute environment, and model deployment processes to ensure quality and reliability of deployed models in MaaS and MaaP environments- Developed monitoring dashboards to track AI inference API performance, inference requests, and model deployment stages, improving visibility and troubleshooting capabilities- Enhanced data accessibility in Azure Machine Learning by implementing support for diverse data sources, streamlining the process of loading and transforming data from various storage locations for machine learning workflows.

Education

• National Tsing Hua University

  Bachelor of Science (B.S.), Physics

  2006 — 2010

• National Taiwan University

  Master of Science (M.S.), Physics

  2010 — 2013

• Southern Methodist University

  Doctor of Philosophy (PhD), Elementary Particle Physics

  2014 — 2019