Dan Tou is a Software Engineer II based in Seattle with 9 years of experience blending full-stack engineering and data science, underpinned by a BS in Chemical Engineering from Carnegie Mellon. He builds and maintains production moderation systems at Indeed using Java, Python, Kafka Streams, MySQL/DynamoDB, and cloud platforms like AWS and Confluent Cloud, and has a track record of designing cross-organizational anti-bot solutions on Cloudflare. Comfortable across front-end React work and backend Spring Boot services, he also applies machine learning and deep learning (PyTorch, U-Net) to extract actionable insights from messy data. An avid self-learner and former data science instructor, he pairs strong analytical thinking with clear communication for technical and nontechnical audiences. Notably, his background in chemical engineering and tutoring informs a methodical, experiment-driven approach to building reliable systems and models.
9 years of coding experience
5 years of employment as a software developer
BS Chemical Engineering, BS Chemical Engineering at Carnegie Mellon University
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