Summary
Tyler Manrique is a software engineer with a decade of hands-on experience building scalable systems across startups, academia, and large cloud providers. Currently an SDE on AWS CloudWatch Synthetics, he has driven high-impact optimizations—designing a sparse GSI recovery tool and refactoring metric aggregation jobs that cut costs and runtimes by ~75–95%. His background spans full-stack web services, distributed systems, operating systems, and ML, with research at Columbia modifying QEMU to study radiation effects on DSPs and experimenting with ML-based fault detection. Comfortable across Java, Python, Node, Kubernetes, and cloud-native AWS services, he blends production reliability with pragmatic architecture choices for high-availability systems. He’s particularly interested in MLOps and large-scale data architectures, aiming to make Big Data pipelines efficient and resilient. Outside product teams, he contributes to open-source tooling and has experience shipping embedded and emulation projects, reflecting a broad curiosity for low-level and systems work.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Columbia University in the City of New York