Summary
Jerry K is a Senior Machine Learning Engineer in San Francisco with 10 years of experience building AI-native production systems that move LLMs and models from prototype to reliable real-world applications. He specializes in agentic systems, retrieval workflows, evaluation loops, and distributed ML infrastructure—stacking tools like LangChain, LlamaIndex, BentoML, Kubernetes, Ray, and Argo to operationalize model serving and orchestration. His background spans finance and sports analytics, including a stint at the Denver Broncos where he applied ML to football technology and research, giving him practical domain intuition for production analytics. Comfortable across Python, Go, cloud platforms (AWS/GCP/Azure), and CI/CD, he blends MLOps rigor with hands-on experimentation in transformers, computer vision, and LLM agents. Notably, he focuses on systems that integrate memory, tools, retrieval, and human workflows, turning complex model behaviors into maintainable software.
10 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Bellarmine College Preparatory
Master of Science - MS Data Science, Master of Science - MS Data Science at University of New Haven
Bachelor of Science - BS Biological Sciences, Bachelor of Science - BS Biological Sciences at University of California, Riverside