Post-trade engineering

• Utilized AWS Glue and Apache Spark with Scala to create a microservice for an Anniversary Bonus pre-processor for small businesses

• Leveraged various tools including React/Redux JavaScript, Python, and PostgreSQL to introduce a no-code tool for vehicle technicians to create automated diagnostic networks, generally developed by engineers, through form inputs

• Worked on the design and implementation of a new streamlined diagnostic platform/flow for a new fleet of Tesla commercial vehicles (i.e SemiTruck)

• Implemented logic to handle client-side caching of network requests, decreasing response time by up to 280%

• Utilized Kafka to access real-time data feeds to develop automation tools for raw vehicle data analysis for Fremont factory assembly line speed optimization

• Arranged weekly meetings with product users (i.e. Vehicle Technicians) to discuss new features and ongoing progress while gaining user feedback

• Developed an application using Angular, Java, and MySQL to help 150+ Fidelity employees within the business unit to track and assign work items, saving associates up to 25-35% of meeting time in communicating work progressions and tasks

• Utilized Jira API to automatically link and attach tickets on either platform

• Created a notification system to alert users when tasks are assigned to them or if a task is expected to be completed within 48 hours by sending an automated email

• Implemented new features in C++ for Ford's EV Smart Charging applications

• Optimized log message algorithms in Python to make it 6% faster to receive

real-time vehicle logs on test cars