Shaun Yang
@shaunyang
Senior software engineer building scalable distributed systems and AI/ML pipelines.
What I'm looking for
I’m a software engineer with 7+ years of experience engineering high-throughput distributed systems, AI/ML pipelines, and cloud-native infrastructure across enterprise and startup environments. I focus on architecting scalable backend APIs, optimizing full-stack applications, and leading technical initiatives from 0 to 1 with an emphasis on secure, high-performance delivery and long-term reliability.
At SoFi, I engineered Node.js distributed microservices for consumer lending workflows, designed secure analytics dashboards with React and Next.js, and built Kafka/Python credit risk validation pipelines for real-time fraud scoring. Previously at Amazon, I delivered scalable Java services for Hire Search using RESTful APIs, DynamoDB, Lambda, Kinesis, and OpenSearch, and improved indexing speed by 28%, while also optimizing UI/UX interfaces with React and TypeScript and delivering low-latency gRPC-based microservices performance.
Experience
Work history, roles, and key accomplishments
Engineered distributed microservices and secure financial analytics dashboards to improve throughput and reduce client-side latency. Built asynchronous credit risk validation pipelines and automated containerized deployment workflows using AWS services to improve platform reliability.
Designed and implemented a scalable Java backend for Amazon Hire Search using RESTful APIs and AWS data/services. Built event-driven streaming and low-latency gRPC communication for high-throughput search and microservices reliability.
Built distributed Kafka-based synchronization and high-throughput alert management systems for real-time fraud-related workflows. Developed stream processing and analytical query pipelines across Kubernetes and AWS to handle very large event volumes.
Implemented predictive analytics pipelines using Python and ML libraries to improve manufacturing yield analysis precision. Optimized large-scale modeling datasets with database optimization scripts to reduce compilation time for testing pipelines.
Research Assistant
National Chung Hsing University
Jun 2015 - Aug 2017 (2 years 2 months)
Designed software architecture for a context-aware mobile recommendation platform using heterogeneous sensor data from Android devices. Developed NLP-based concept models and recommendation services, including text classification pipelines to reduce data parsing anomalies.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Master of Science, Computer Science
2018 - 2020
Earned a Master of Science in Computer Science at the University of Southern California from 2018 to 2020.
National Chung Hsing University
Bachelor of Science, Computer Science
2013 - 2017
Earned a Bachelor of Science in Computer Science at National Chung Hsing University from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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