Joseph Catrambone is a software engineer with 12 years of experience applying machine learning and classical CS algorithms to production problems, currently building systems at Gridware in San Francisco. His background spans research and engineering roles—from psychometric modeling at Purdue to terabyte-scale ML/NLP systems at RPX and staff data science at Primer—giving him a strong bridge between research and scalable product work. He has focused recently on small language models, computer vision, and search, with hands-on experience moving prototypes into robust services. Joseph’s career includes stints at Google and AI startups where he combined research rigor with pragmatic engineering to ship complex pipelines. He blends backend expertise (Python/Django and large-scale ML infra) with a curiosity for cognitive modeling that informs his approach to language and vision problems. Colleagues would describe him as a practitioner who translates cutting-edge models into reliable, production-ready systems.
11 years of coding experience
16 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at Temple University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Purdue University
Contributions:73 commits, 28 pushes, 2 branches in 7 months
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