Summary
Daniel Vallejo is a Java Software Engineer with eight years of experience building cloud-native and data-driven solutions, currently contributing at Exact Sciences. He has practical expertise across time series forecasting, machine vision, and big data (Hadoop/Hive), and has applied these skills in research with LLNL to approximate PDE solutions via neural networks. Daniel has production experience designing microservices, infrastructure-as-code on AWS, and accelerating development at a materials AI startup by streamlining backend patterns and inventing Web NFC inventory tooling. Comfortable bridging research and product, he blends a chemistry-math curiosity with hands-on system delivery and a track record of turning prototyped ideas into deployed features.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at CETYS Universidad
Certificate of Completion, Big Data Analysis, Certificate of Completion, Big Data Analysis at Yonsei University