Summary

Experience

Senior Observability Engineer|Salesforce

San Francisco, CAMar 2022Present

• Led the design and implementation of a new OpenTelemetry-based distributed tracing platform across 500+ microservices, reducing P99 latency identification time by 40%.
• Architected and deployed a standardized Prometheus/Grafana monitoring stack for critical services, decreasing false-positive alerts by 30% and improving alert signal-to-noise ratio.
• Developed and maintained CI/CD pipelines for observability tools deployment, resulting in a 25% faster rollout of new features and updates across 3 environments.

Observability Engineer|Lyft

San Francisco, CAJul 2019Mar 2022

• Built and managed ELK (Elasticsearch, Logstash, Kibana) stacks for centralized logging, processing over 10TB of logs daily from 200+ services.
• Implemented custom Grafana dashboards and Prometheus alerts, proactively identifying and resolving 25+ critical production incidents per quarter, reducing MTTR by 20%.
• Developed Python scripts for automated health checks and data aggregation, improving system uptime by 5% and reducing manual effort by 10 hours/week.

Projects

Kubernetes Cluster Health Dashboard

Jan 2023Apr 2023

• Developed a custom Grafana dashboard and Prometheus exporter to visualize Kubernetes cluster health metrics, including resource utilization and pod status.
• Implemented anomaly detection rules to proactively identify potential issues, reducing investigation time for cluster-related incidents by 20%.

Python Logging Utility with Distributed Tracing

Sep 2022Nov 2022

• Created a Python library integrating standard logging with OpenTelemetry for automated trace context propagation and span creation.
• Demonstrated significant reduction in boilerplate code for developers adopting distributed tracing in Python microservices.

Terraform Module for ELK Stack Deployment

May 2021Aug 2021

• Designed and published a reusable Terraform module for deploying a scalable ELK stack on AWS, streamlining infrastructure provisioning.
• Enabled rapid deployment of centralized logging infrastructure, cutting setup time from days to hours for new projects.

Education

Stanford University|M.S. in Computer Science

Stanford, CASep 2017Jun 2019

• Graduated with a GPA of 3.8/4.0, specializing in Distributed Systems.
• Awarded the Dean's Fellowship for academic excellence in computational science.

University of California, Berkeley|B.S. in Computer Engineering

Berkeley, CASep 2013May 2017

• Dean's List recipient for 6 consecutive semesters.
• Completed a senior thesis on real-time data processing architectures.

Skills

Monitoring & Alerting

PrometheusGrafanaDatadogSplunkAlertmanagerZabbix

Logging & Tracing

ElasticsearchLogstashKibana (ELK Stack)JaegerZipkinOpenTelemetryFluentdLoki

Cloud Platforms & Orchestration

AWS (CloudWatch, EC2, Lambda, S3, EKS)GCP (Stackdriver, GKE, Cloud Functions)DockerKubernetesOpenShift

Programming & Scripting

PythonGoBashJavaSQLYAML

CI/CD & Automation

JenkinsGitLab CIArgo CDTerraformAnsibleGitJira