Open Source Projects
I'm passionate about open source software and regularly contribute to projects that solve real-world problems. Here are some of the projects I've created or significantly contributed to.
Spring Actuator CloudWatch
A Spring Boot library that enables application metrics to be published directly to AWS CloudWatch, allowing for seamless monitoring of Spring applications in AWS environments.
Big-data Profiler
A library for profiling large datasets in big data environments. It generates statistical metadata about datasets, making it easier to understand data distributions and quality. Contributed to this project while at Nordstrom.
Deep Learning Image Similarity
A tool that uses deep learning techniques to find similar images based on visual content rather than metadata. Useful for recommendation systems and content organization.
Autoerroretry
A Java library that provides automatic retry functionality for failed operations, with configurable backoff strategies and failure handling.
Time-Series Anomaly Detection
A library for detecting anomalies in time-series data using statistical methods and machine learning. Useful for monitoring systems and identifying unusual patterns.
Conference Talk
Building an ML Platform at Scale
In this talk, I discuss the challenges and solutions in building a scalable ML platform that supports data scientists through the entire model development lifecycle.
Watch VideoLast reviewed: 2026-10