San Francisco Bay Area
I am a results-driven software engineer with extensive experience in big data and machine learning engineering and infrastructure. My experience ranges from small-scale data pipelines to massive-scale applications and systems serving 1M+ requests per second at sub-100ms latency supported by 500PB+ data lakes. I am very versatile and emphasize the team over the individual. I enjoy exploring new technologies and am a fast learner.
Apple Services Engineering - AI/ML Platform Infrastructure Engineering
Apple Media Products - ML/Big Data Platform Engineering
Fraud Engineering, Algorithms, and Risk - ML Platform Engineering
• Upgraded the Apache Mesos backend that runs jobs for internal data analytics platform on distributed cluster • Refactored Scala codebase to make use of Mesos HTTP API • Integrated new version of Apache Superset into internal data analytics platform • Implemented caching backend for Superset using Redis and Celery and built custom access control manager to automatically assign roles based on LDAP groups
• Designed and implemented a model for predicting future sales amounts by doctor’s offices • Designed and implemented a clustering model for web log anomaly detection using Apache Spark, Apache Hadoop, AWS Elastic Map Reduce, and Splunk • Designed and implemented a question answer platform for use by sales representatives using the spaCy NLP package