Haoran Huang is a Senior Software Engineer with 11 years of experience building large-scale ML training and data pipelines, currently improving model training core infrastructure at Snap in Bellevue. He specializes in distributed training systems and has led cross-functional teams to deliver end-to-end ML platforms—from BERT-based NLP classification products at Sudo Privacy to PyTorch frameworks and automated dataset/model pipelines for Alexa at Amazon. Haoran combines hands-on backend and cloud engineering (Spark, AWS, StepFunctions) with product-minded design of model training, evaluation and deployment workflows, improving throughput and stability at scale. He has a track record of coordinating global teams and formalizing operational SOPs and CI/CD for continuous model building, and is comfortable owning both research-facing tooling and production systems. An understated strength is his ability to translate scientist requirements into robust engineering solutions that accelerate experimentation and production releases.
11 years of coding experience
9 years of employment as a software developer
BS Computer Science, BS Computer Science at University of Washington
Bachelor of Commerce (BCom) Computer Science, Bachelor of Commerce (BCom) Computer Science at Purdue University
Contributions:13 pushes, 1 branch in 1 year 7 months
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