• Re-engineered the fleet management application’s user flow to increase the visibility of high-priority alerts (TypeScript, React.js).

• Implemented alerts and metrics to improve the fleet monitor response times in moments of extreme danger (Golang).

• Protected 750,000 drivers and 60,000+ organizations across Mexico and the US with new security features.

• Developed from scratch a web application using Flask and React.js to manage and visualize data from proprietary state-of-the-art mercury sensor.

• Implemented a frontend persistent store and query system in Dexie.js to mitigate sensor CPU load.

• Processed and visualized real-time mercury sensor data using D3.js.

• Redesigned sensor control and analysis for efficient, asynchronous data analysis and sever-sent events.

• Configured a microcontroller to host a dedicated web server for mission-critical data transmission.

• Designed an internal tool that aggregated log data across all pricing systems reducing average bug and metric lookup time from 5 minutes to 30 seconds.

• Implemented a scalable log data querier in Java + Spring using AWS S3 and AWS Athena services.

• Implemented table with filtering, sorting, and streaming in React.js to quickly visualize data.

• Rigorously tested project’s code with unit and integration tests using JUnit and Mockito.

• Configure, deploy, and patch, over 20 campus virtual servers.

• Administer Active Directory accounts, permissions, and services for over 40,000 users.

• Implement PowerShell scripts and SQL queries to optimize company workflow.