Machine Learning Engineer
Current- Designed “Smart Monitors” an ML anomaly detection system that alerts customers based on irregularities in their log and metric data.
- Improved Sumo’s text-based clustering product for logs (logreduce) by modifying and distributing their algorithm over 100’s of nodes. My contribution increased the throughput (logs clustered per second) by 10x.
- Created an entity detection transformer for logs, which helped detect apps, services, and agents with few-shot examples.
- Increased frequency of code deploy by a factor of 3x by migrating our team’s services to Kubernetes.
- Created a new open source framework (Open Analytics) that allows customers to plug-in machine learning models into Sumo’s log search interface.