Jianfeng Qiu is a software engineer based in New York with 11 years of experience spanning mobile and backend systems, currently building software at Facebook after leading iOS efforts at Yahoo and Qualcomm. He combines deep iOS expertise (Objective-C, Cocoa, CoreData, AVFoundation and related toolchains) with hands-on experience in data streaming and ML—contributing a Naive Bayes implementation to the well-regarded streamDM library for Spark Streaming. Jianfeng is fluent in production mobile SDLC and performance tooling, and also brings an electrical engineering master’s background that informs his systems-level thinking. Fast-learning and pressure-tested, he ships polished mobile experiences while also tackling algorithmic challenges in big-data environments.
11 years of coding experience
9 years of employment as a software developer
Master, Electrical Engineering, Master, Electrical Engineering at University of Southern California
Contributions:1 release, 243 commits, 38 PRs in 2 years 9 months
Contributions summary:Jianfeng implemented a Naive Bayes classifier for the Spark Streaming environment, including core functionalities like training, prediction, and model updates. They developed the `NaiveBayes` class and `DenseNaiveBayesModel`, indicating a focus on algorithm implementation and model management. The commits demonstrate a specific focus on machine learning techniques and integrating these into a data stream processing library.
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