Summary
Carlos Grijalva is a senior software engineer with 11 years of experience building scalable backend systems and platform-agnostic UIs, currently improving enterprise search relevance and suggestion experiences for Edge Address Bar at Microsoft. He combines deep systems work—optimizing large-scale C++ thread pools and reducing latency in text-to-speech pipelines—with product-driven A/B experimentation to measure retention and guide feature decisions. A pragmatic technical leader and mentor, he has coached juniors and interns into full-time hires while delivering measurable performance wins like faster render times via prefetching, client caching, and prefix-tree query stores. His background spans distributed Java Spring microservices, messaging systems, and data engineering, and he brings a rare mix of algorithmic optimization and hands-on product impact to search and productivity features.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Information Technology Software Track, Bachelor of Science (B.S.), Information Technology Software Track at Florida International University
English, Spanish