Led the migration of Wholesale organization’s Kubernetes microservices from multi-region clusters to a single-region setup using Azure YAML pipelines.

Implemented an inbox pattern for the Sale Events microservice using Azure Service Bus and Azure Functions to reduce data conflicts during Cosmos DB updates.

Designed and implemented a C# .NET Core microservice to process inspection service bus messages and publish them to a predictive model for optimizing listing floor prices.

Recognized as one of three Honorable Mentions for Carvana Spark’s 2024 Right at Home Award, celebrating new employees who made an immediate, company-wide impact (peer-nominated).

Designed and implemented Azure pipelines for building autonomous bot software, creating deployment jobs via the fleet manager to ensure seamless updates across the entire fleet and improving deployment times by 900%.

Spearheaded the deployment of a time series database, facilitating historical data collection, issue tracking, and metric dashboards, using Grafana, to improve field debugging and operational efficiency.

Established a scheduling system for regular bot deployment with specified missions, optimizing field operations and ensuring consistent performance.

Developed unit and integration tests using XUnit and Postman to thoroughly validate code and achieve high code coverage on all pull requests, ensuring that the codebase is of high quality.

Leveraged Power BI to create comprehensive reports that highlighted key metrics on the health, performance, and usage of our credentials, providing valuable insights to stakeholders.

I improved pages that were taking seconds or minutes to load data down to milliseconds by optimizing the sql queries being made and improving the code.

Created a PEVN stack application (working in Express.js, Postgres, and Vue) to improve the processing and uploading of bulk raw documents with customers. The tool included blank page detection and automatic page rotation using OCR (tesseract).