Jiawei Kuang
@jiaweikuang
Senior software engineer specializing in scalable recommendations and ML infrastructure.
What I'm looking for
I am a results-driven senior software engineer with 10+ years of experience designing and scaling distributed systems, search and recommendation platforms, and data-intensive applications. I have delivered high-impact features at Pinterest and Electronic Arts, improving user engagement, reducing latency, and enhancing ML model performance for products used by millions.
I specialize in full-stack development (React, Java, GraphQL), backend microservices (Java, gRPC, Redis), and machine learning infrastructure (TensorFlow, Faiss, Airflow), and I am passionate about mentoring engineers, optimizing systems, and building resilient cloud-native solutions on GCP and AWS.
Experience
Work history, roles, and key accomplishments
Led end-to-end development of retrieval, recommendation, and search systems, driving a 40%+ increase in user engagement and doubling monetized search traffic; reduced tail latency by 45% and improved embedding index refresh times by 60%.
Built EA's global big-data analytics platform and OLAP services powering 300+ games and 500M+ players, improving analytic response times by 60% and enabling reliable daily processing of 3B+ events with 99.9% uptime.
Built a web service for sending referral emails for global Amazon programs (e.g., Prime), contributing to scalable international referral workflows.
Education
Degrees, certifications, and relevant coursework
Stony Brook University
Master of Science, Computer Science
2013 - 2015
Completed a Master of Science in Computer Science with coursework and projects focused on systems and machine learning.
Sun Yat-sen University
Bachelor of Engineering, Software Engineering
2009 - 2013
Earned a Bachelor of Engineering in Software Engineering with emphasis on software development and systems engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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