About

Clayton Blythe is a highly skilled Senior Software Engineer with over 5 years of relevant experience in software engineering, cloud architecture design, project leadership, mentorship, and communication. He is currently working at Amazon, where he is leading the ML infrastructure for payment processing. Clayton is committed to personal and professional excellence, primarily within the emerging areas of machine learning, user experience experimentation, and cloud-based software solutions. Clayton has a strong background in implementing cloud-based personalization architectures using tools such as python, terraform, serverless, lambda, apache airflow, sagemaker, apache spark, and docker. He has also architected and implemented batch online feature update pipeline with Airflow and Apache Spark, Pyspark, and Python delivering >1 billion user propensity updates daily. Clayton has constructed a real-time user experience experimentation platform utilizing a reinforcement learning and contextual bandit approach. He has achieved 30% improvement in click-through-rate for novel mobile UX experiences over legacy control treatments, using Catbost machine learning model. He has also implemented machine learning model metastore in DynamoDB for tracking contextual bandit model metadata and performance metrics for gating candidate model promotion to production. Clayton has previously worked at Zillow as a Senior Machine Learning Engineer, where he implemented daily Facebook Ads pipeline for Zillow listings, contributing revenue of >2 million/month. He has also designed and led junior engineers in a project to predict rental interest propensity scores for 50 million users and automate to real-time and offline feature stores. Clayton has reviewed 200+ Terraform infrastructure as code changes for AI organization as a senior Terraform cloud infrastructure admin in analytics org, ensuring proper security and software engineering best practices for new service and infrastructure changes. Clayton has a Bachelor's degree in Physics and Economics from Central College and a Masters of Science Coursework in Computer Science | Machine Learning from Georgia Institute of Technology. He is proficient in various technologies such as Software Engineer, ML, Terraform, infra, Spark, Apache Airflow, Reinforcement Learning, Python, Mobile, Sagemaker, AI, Docker, AWS, Backend, Redis, and iOS. Clayton is an excellent communicator and a dedicated team player who is passionate about staying up-to-date with emerging technologies and applying them to solve complex problems.