Summary
Daniel Thiyagu is a software engineer with 11 years of experience who blends full-stack Rails and PHP background with applied machine learning expertise from roles at Google and Meta. He has moved from backend and data-focused positions at Intuit and Chronus into production ML engineering at Google, demonstrating an ability to take models from research to industry-grade pipelines. Comfortable across databases (MongoDB, MySQL), search (Thinking Sphinx), geospatial tooling (Leaflet), and AWS services, he pairs system design with hands-on implementation. Daniel's academic foundation includes an MS in Computer Science from UMass Amherst, and he has practical data science experience from an early internship at Prophit Insight. Based in California, he’s equally at home wireframing product flows as he is tuning model deployment and inference. Peers describe him as a pragmatic engineer who translates ML curiosity into reliable, scalable software.
11 years of coding experience
10 years of employment as a software developer
Masters in Science Computer Science, Masters in Science Computer Science at University of Massachusetts Amherst
Bachelor's degree Computer Science, Bachelor's degree Computer Science at College of Engineering, Guindy
English, Tamil