Software Engineer Senior

Jiawei Kuang

Senior Software Engineer

*********@*****.*** 415-***-**** San Francisco Bay Area jiaweikuang Profile

Results-driven Senior Software Engineer with 10+ years of experience designing and scaling large-scale distributed systems, search and recommendation platforms, and data-intensive applications. Proven track record of delivering high-impact features at Pinterest and Electronic Arts, driving user engagement, reducing latency, and improving ML model performance. Expert in full-stack development (React, Java, GraphQL), backend microservices (Java, gRPC, Redis), and machine learning infrastructure (TensorFlow, Faiss, Airflow). Adept at collaborating cross-functionally with product, design, and research teams to ship features used by 100M+ users. Passionate about mentoring, system optimization, and building resilient, scalable solutions in cloud-native environments (GCP, AWS, Kubernetes).

Professional Experience

Senior Software Engineer

Pinterest

03/2019 – Present

•Led end-to-end development of retrieval, recommendation, and search systems using Java, Python, JavaScript, React, deep learning, and distributed infrastructure, driving a 40%+ increase in user engagement across core surfaces.

•Developed modular, responsive shopping recommendation UIs using React, JavaScript, GraphQL, and Redux, improving click-through rates on product Pins by 35% and increasing monetized traffic from Search by 2 .

•Built scalable microservices for candidate retrieval and ranking pipelines using Java, gRPC, and Thrift, reducing tail latency by 45% and supporting billions of daily content recommendations across Pinterest surfaces.

•Optimized real-time ANN (approximate nearest neighbor) retrieval service using Kubernetes, Docker, Redis, and AWS EC2, improving embedding index refresh times by 60% and increasing candidate freshness in Related Pins.

•Integrated multimodal relevance signals into ranking models using feature engineering, graph embeddings, and user intent modeling, boosting conversion rates for shopping recommendations by 28% across key verticals.

•Mentored 6+ junior engineers and led cross-functional feature launches with product, design, and ML teams, accelerating roadmap delivery by 30% and contributing to three company-wide search and recommendation initiatives.

Software Engineer

Electronic Arts

07/2015 – 03/2019

•Built EA’s global big data analytics platform for all franchises using Spring Boot, AngularJS, Kafka, Redshift, and Hadoop, enabling data-driven decisions across 300+ games and 500M+ players.

•Implemented interactive game analytics dashboards using AngularJS, REST APIs, and D3.js, accelerating decision-making for live ops teams and increasing dashboard usage by 40% across studio departments.

•Developed OLAP services and APIs with Spring Boot, MySQL, Redis, and Antlr, powering ad-hoc queries on Redshift and reducing analytic response times by over 60% for studio analysts.

•Automated ETL workflows and telemetry ingestion pipelines using Hadoop, Hive, Oozie, Kafka, Storm, and AWS S3, achieving reliable daily processing of 3B+ events with 99.9% uptime.

•Supported data scientists by providing cleaned, query-ready datasets from Hive and Redshift, enabling churn model training that improved player retention predictions by 25% in targeted campaigns.

•Collaborated cross-functionally with designers, analysts, and product teams to translate game telemetry needs into actionable insights, shortening iteration cycles on new features by 30% through shared dashboards and reports.

Software Engineer Intern

Amazon

06/2014 – 08/2014

•Built a web service for sending referral emails for worldwide Amazon programs such as Amazon Prime, Amazon Student, etc

Skills

Programming Languages: Java Python JavaScript (ES6+) TypeScript SQL Bash/Shell Frontend Technologies: React AngularJS GraphQL styled-components HTML5 CSS3 D3.js Redux Next.js REST APIs

Backend & Microservices: Spring Boot Node.js gRPC Express.js Redis Kafka Protocol Buffers RESTful services WebSockets

Machine Learning & MLOps: TensorFlow PinSage GNN Feature engineering Model inference tooling Embedding models Model refresh automation Real-time feature stores ML experimentation ML ranking systems

Big Data & ETL: Apache Hadoop Apache Hive Apache Spark Kafka Streams Airflow Data ingestion pipelines OLAP systems

DevOps: GCP AWS Azure Docker Kubernetes Helm Cloud-based auto-scaling CI/CD integration Databases & Data Stores: MySQL PostgreSQL Amazon Redshift Redis S3 OLAP storage systems Product & Cross-functional Collaboration: A/B testing Product experimentation pipelines Roadmap alignment Feature prioritization Stakeholder engagement UX collaboration Technical mentoring Education

Master of Science (MS), Computer Science

Stony Brook University

2013 – 2015

Bachelor of Engineering (BEng), Software Engineering Sun Yat-sen University

2009 – 2013

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