Nathan Calandra is a Lead ML Platform Engineer with a decade of experience designing cloud-native systems and leading data and software engineering teams. Currently at Salesforce after progressing from senior and staff data engineering roles at SimpliSafe, he blends hands-on cloud architecture with people leadership to operationalize ML and data platforms. His background in computational physics informs a pragmatic, measurement-driven approach to building reliable pipelines and production services. Nathan has progressed from scientific programmer to team lead, demonstrating an ability to translate research-grade code into scalable, maintainable systems. Based in Boston, he pairs deep technical chops with mentoring and cross-functional collaboration to drive delivery across complex organizations. Outside of work he has a history of practical engineering projects and teaching, indicating strong communication and hands-on problem-solving skills.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Computational Physics, Bachelor's Degree Computational Physics at Gordon College
Contributions:29 pushes, 2 branches in 2 years 7 months
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