Summary
Di Ni is a versatile software engineer with 12 years of experience building large-scale distributed systems, ML-driven features, and backend services across companies like Coupang, Adobe, and Amazon. She combines deep ML expertise (Spark, TensorFlow, Keras, Scikit-learn) with production-grade engineering skills in Java/C++/Python, Kafka, Cassandra, Kubernetes and AWS to deliver scalable data pipelines and AI-powered product features. At Adobe she led architecture and code ownership for assistive AI in Photoshop/Illustrator, and at Coupang she designed Spark-based pipelines and cloud-native workflows for high-throughput data processing. Based in San Jose, she blends research-grounded techniques (LDA, MLlib) with pragmatic system design and a strong foundation in algorithms, design patterns and computer graphics. An engineer who moves fluidly between prototyping ML models and hardening distributed production systems, she’s equally comfortable in cloud-native CI/CD workflows and hands-on code reviews.
12 years of coding experience
10 years of employment as a software developer
Exchange Student, Computer Science, Exchange Student, Computer Science at University at Buffalo
University of California Santa Cruz
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing University of Technology