Michael Hammer is an AI software engineer with a decade of hands-on experience building cloud-native, reliability-focused systems and a recent shift into applying ML at scale for product impact. He progressed from cloud-native and Site Reliability roles at Synopsys and Raytheon to AI engineering at Black Duck, pairing operational rigor with model-driven solutions. A self-taught machine learning practitioner and prolific sharer, he documents his learning journey to help others monetize AI skills as employees, freelancers, or founders. Academically, he graduated top of his class in Computer Science & Engineering from Bucknell and brings early-career experience from three NASA JPL internships. Based in Medford, MA, Michael blends production-grade SRE discipline with an entrepreneur’s mindset to turn AI experiments into reliable, valuable systems.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science and Engineering, Bachelor of Science (B.S.) Computer Science and Engineering at Bucknell University
Cloud native tool to deploy Synopsys applications in Kubernetes and OpenShift
Contributions:1 PR, 140 pushes, 119 branches in 9 months
openshiftk8skubernetessynopsyscloud-native
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Michael Hammer - AI Software Engineer at Black Duck