Insights & Optimization Team - Playback Org

Our team optimizes the Audible playback experience through data-driven insights. Operating across Android, iOS, and Web, we architect and own the ML-focused infrastructure necessary to identify and deliver performance optimizations across the entire playback ecosystem.

Royalties & Accounting Team - Product Design & Engineering Org

• Built and optimized features for the royalties and accounting platform, contributing to the system’s scalability and performance. System processes $1B+ in revenue across 55k+ music labels and 15B+ media streams.

• Modernized and refactored legacy React applications, improving code quality and driving better usability for internal users.

• Designed and implemented backend services and data integrations using GraphQL, Kafka, and Neo4j to enhance data reliability and efficiency.

• Led engineering initiatives by defining technical scopes, collaborating cross-functionally, and improving system monitoring and incident response.

Ad Fraud Prevention Team - Monetization Org

• Strengthened Twitch’s ad fraud prevention systems by designing and implementing detection mechanisms to safeguard the platform’s integrity. Protected over 5M+ live ad impressions and preserved $100k+ in creator payouts.

• Orchestrated a data pipeline processing over 100M+ rows of global Twitch traffic daily, streamlining delivery to Amazon’s Traffic Quality team via Airflow.

• Migrated 10% of all Airflow DAGs at Twitch from a legacy Apache Airflow cluster to Amazon MWAA, improving reliability and security.

• Created monitoring frameworks using CloudWatch, PagerDuty, and Grafana to improve system observability and incident response across the ad fraud team. Actively monitored 100+ KPIs

Consumer Line of Business Team

• Automated internal data workflows by developing Python and Bash scripts to streamline data transfers and validation processes.

• Supported cross-team projects by gathering technical requirements and ensuring smooth communication between stakeholders and engineering teams.

• Password Reset IVR - Created an IVR that performs several security checks prior to resetting a user’s password on Active Directory using LDAP, Python, DynamoDB, AWS Connect, and AWS Lambda

• Cloud Desktop Serverless API - Revamped the cloud desktop provisioner server to a serverless architecture. Expanded the serverless API with additional calls to generate forms and data using AWS API Gateway and Python

• Termination Survey - Created customized, time-sensitive monthly surveys alerting users that their underutilized cloud desktops will be terminated unless requested otherwise using React, AWS API Gateway, Python, and DynamoDB

• Cloud Desktop Data Collection - Created a script executed daily to collect additional information about a cloud desktop including billable hours, active directory profile, and cost center via Python, AWS Lambda and DynamoDB

• Cloud Desktop Metrics Dashboard – Created an API that powers nearly a dozen visuals on Redash that highlights the cost and usage rate of the cloud desktops on a branch, cost center, or user level via AWS API Gateway and Python

• Storyline IVR Metrics – Created a script that analyzes all interactions of the storyline IVR and sends out a weekly email with a CSV detailing each audio file’s hit frequency using AWS Lambda and Python