Yilin L is a software engineer with 7 years of experience building scalable, cloud-native systems and ML tooling, currently contributing to Bloomberg’s trading and ticketing platforms. With a strong academic foundation (BS in Honors Math & CS from Michigan and an MS in CS from Columbia), they bridge research and production—having implemented hardware-aware neural network pruning and migrated anti-abuse scoring systems at LinkedIn. Comfortable across C++, Python (TensorFlow/PyTorch), Go, CUDA, and distributed stacks (Kafka, Spark, Kubernetes, Terraform, AWS/GCP), Yilin has delivered automation for cloud account management at Salesforce and real-time streaming integrations at Barclays. Equally at home in low-latency trading connectivity and ML model pipelines, they bring a quantitative lens from finance and math to practical engineering problems. An organizer of reproducible solutions, Yilin favors infrastructure-as-code and CI/CD to turn research prototypes into reliable services.
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