Edward Yang is a Senior Machine Learning Platform Engineer with nine years of experience building end-to-end ML systems, data ingestion pipelines, and scalable serving APIs across GCP and AWS. He specializes in recommendation systems, NLP, and time series forecasting, and is fluent in Python, Go, R, Spark, PyTorch and TensorFlow. At companies from Pluto TV to EvolutionIQ he has led design and deployment of production recommender and generative LLM pipelines, adding model validation, observability, and orchestration to improve stability and performance. He brings a pragmatic full-stack perspective—combining statistical modeling training from an actuarial and computational finance background with hands-on platform engineering. Comfortable across Kubernetes, Databricks, BigQuery/Snowflake and streaming systems, he often builds internal libraries and tooling to simplify developer workflows. Based in New York, he pairs strong cross-functional collaboration with a track record of shipping reliable, production-grade ML services.
9 years of coding experience
6 years of employment as a software developer
MS, Actuarial Science, MS, Actuarial Science at Temple University
BS, Finance, Computational Finance Minor, BS, Finance, Computational Finance Minor at Carnegie Mellon University
small to medium sized language models for sentiment analysis
Contributions:1 release, 5 reviews, 178 commits in 5 years 6 months
nlppytorchrnnpythondeep-learning
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Edward Yang - Senior Machine Learning Platform Engineer