Director, Infrastructure & Devops
Alexander Ng is Director of Infrastructure & DevOps at Manifold. In this capacity, he is an individual contributor to client delivery projects and a cross-project advisor on both cloud architecture and DevOps. He is also shepherding our data engineering partnerships with cloud platform vendors.
Prior to Manifold, Alex was a DevOps Tech Lead for Kyruus, a startup that builds SaaS products for enterprise healthcare organizations. The experience he gained building robust deployment pipelines to efficiently and reliably take code through the Software Development Life Cycle will be a strong asset to our team. Manifold builds production-ready solutions for our clients, and optimizing our delivery pipeline helps ensure our solutions are deployed and integrated quickly.
Another skill that Alex brings to Manifold was gained as a Sales Engineering Tech Lead at Kyruus, which taught him how to really listen to the problems that customers and prospects were facing. At Manifold, the first step of our Lean AI process is to make sure that we thoroughly understand our client's challenges to ensure we deliver solutions that will have an immediate and tangible impact on their business.
Alex got his start in systems engineering as a Software Systems Engineer at the MITRE Corporation and the Naval Undersea Warfare Center in Newport, RI. His recent projects at the intersection of systems and machine learning continue to combine a deep understanding of the entire development lifecycle with cutting-edge tools and techniques.
“I love learning,” Alex says, “and I have something new to learn from every single person at Manifold everyday.” We share his enthusiasm and are delighted to have him on board.
Alex earned his Bachelor of Science degree in Electrical Engineering from Boston University, and is an AWS Certified Solutions Architect.
|ODSC West||MLOps: ML Engineering Best Practices from the Trenches||Oct. 29–Nov. 1
San Francisco, CA
|ODSC East||Reproducible Data Science Using Orbyter||Apr. 30–May 1
|Strata Data Conference||Streamlining a Machine Learning Project Team||Mar. 25–28
San Francisco, CA