Summary
John Franklin is an ML-focused full-stack engineer with 11 years of experience who currently builds generative AI projects at TekSystems supporting Meta. He has a proven track record at Intuit of pioneering LLM-driven developer tooling—creating an AI code generator that cut coding time by 80% and a rapid endpoint testing/deployment platform that onboarded over 1,800 engineers. Comfortable across Python, Golang, Scala, Node, and modern front-end stacks, he also built performance and parser generators that drastically reduced testing and configuration time. He combines hands-on model work (fastai/PyTorch/Sagemaker) with pragmatic product engineering, having delivered an email-to-invoice ChatGPT pipeline and AI image saliency models. Based in San Bruno, CA, he favors solutions that automate repetitive developer tasks and accelerate team productivity—often by an order of magnitude.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at San José State University
Japanese, English