Naireen Hussain is a software engineer based in Canada with 10 years of experience building scalable backend systems and cloud infrastructure, currently contributing at Google. She has strong distributed-systems and data-processing expertise, evidenced by notable contributions to Apache Beam’s Java Dataflow runner—adding autosharding for BigQuery, gauge metrics, and Storage Write API improvements. Her background spans cloud-native operations (GCP, Kubernetes, Terraform), ML research for exoplanet detection, and production engineering across startups and large tech firms. Comfortable bridging research and production, she has reduced computational costs in scientific ML projects by orders of magnitude and brings that optimization mindset to large-scale data systems.
10 years of coding experience
4 years of employment as a software developer
Bachelors of Engineering, Engineering Science, Bachelors of Engineering, Engineering Science at University of Toronto
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:83 reviews, 2 commits, 49 PRs in 1 month
Contributions summary:Naireen primarily focused on enhancing the Apache Beam project, particularly within the Java-based Dataflow runner. Their contributions included converting timestamps, implementing autosharding for BigQuery, and adding functionality for gauge metrics. They made significant changes to code related to Windmill timers and Storage Write API, as well as tests associated with these features.
Contributions:15 commits, 3 PRs, 21 pushes in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.