• Redesigned C++ calibration parameter infrastructure to a more hierarchical structure reducing duplicated code by over 60%

• Integrated a new proto message format for the calibration params reducing the size of these messages by over 40%.

• Implemented 12 sensors in the new calibration parameter format including: lidar, radar, camera, and IMU sensors.

• Reduced support time for customer issues on Atlas by 10% by creating new admin features using Java

• Increased observability of the Atlas System by 10% by adding Prometheus metrics and Grafana dashboards

• Created new admin routines that solved pending Index HELP tickets 50% faster than previous methods

• Implemented extensive unit and integration tests using Java Mockito

• Implemented a link shortener service that reduced link length by 65% allowing for easy sharing across social media

• Designed and developed a web scraper that automatically creates a chatbot decreasing deploy time by 20%.

• Engineered and deployed a public REST API for the web scraper utilizing Amazon LightSail, Nginx, and Flask

• Redesigned a REST API for IoT devices to publish information to external mapping system using Flask, HTML, and CSS.

• Restructured rigid SQL database to MongoDB database decreasing time taken to add new devices by almost 100%.

• Enabled the project to use horizontal scaling infrastructure instead of more expensive vertical scaling using MongoDB.

• Decreased setup time by 95% and added scalability features using Docker containerization and bash scripts.

• Documented design decisions and quick setup instructions on previously undocumented code for quick setup time.