Peyton Deniro is a Senior AI Engineer with eight years of experience architecting and shipping production-grade GenAI, NLP, and LLM solutions across cloud platforms. He has led teams and built end-to-end ML systems—ranging from multi-model text analytics and commercial RAG chatbots to a continuous fine-tuning sales ranking pipeline serving 400+ reps and a multimodal invoice-processing pipeline handling 20,000 documents monthly. Comfortable across Python, PyTorch, Hugging Face, Spark, and GCP/Vertex AI, he combines hands-on engineering with stakeholder-facing product design to align models with measurable business outcomes. An active open-source contributor and AI art hobbyist, his ComfyUI-to-Python extension has earned notable recognition on GitHub. Based in Philadelphia, he brings a research-minded background in applied statistics and public policy to practical, scalable ML deployments.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Journalism; Bachelor of Arts in American Studies, Bachelor of Journalism; Bachelor of Arts in American Studies at The University of Texas at Austin
Master of Public Service & Administration (MPA) Applied Statistics and Economics, Master of Public Service & Administration (MPA) Applied Statistics and Economics at Texas A&M University - The Bush School of Government and Public Service
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