• Created several data pipelines for our firmware CI testers that collected CAN, DDS, and other data, converted it into a rosbag like time series data containers, and then transformed the data into metrics that were uploaded to OpenSearch as the data source for the Grafana dashboards that displayed the performance metrics• Transitioned our CI execution from Github Actions and Bamboo to our Zoox CI platform and Bazel to leverage the intersection of changed files with the files listed by the Bazel dependency graph to determine whether a CI job should run resulting in a reduction of unnecessary CI job execution by an average of 85%• Implemented multiple algorithms to simulate PWM and Quadrature signals using the existing Analog Output Cards that were already installed on testers, saving the company more than $1,000 per tester• As technical lead, I was part of the end-to-end recruitment process by participating and developing initial screenings, technical challenges, and roundtables; heavily involved in the onboarding of Jr. team members

• Architected and led the development of a Python and C++ RTI DDS pub sub client which was a critical component for the testing of data communication between the AI Stack and other systems; the client was used for component simulations, manufacturing testing, HIL testing, and general data collection; the automation enabled by this tool resulted in a reduction of setup and execution time for test that required DDS by more than 90%• Led the transition for most of our Python tools from a setuptools, Docker, and Artifactory deployment to them being integrated with Bazel for building, executing, and testing, reducing runtime conflicts by more than 70%

• Architected and developed a Python hardware data acquisition automation framework that leveraged pybind11 for C++ and Python integration and was capable of interacting with DAQ from multiple suppliers (e.g. UEI, National Instruments, LabJack, etc.) with a universal configuration that was used for HIL testing, data collection, and hardware simulation, improving efficiency of tester setup and re/configuration by more than 90%• Designed and developed several python tools that integrated CarMaker, for vehicle dynamics simulations, and dSPACE hardware, for vehicle dynamics stimuli, with our HIL Test Automation Framework which enabled the automation of test case execution in our vehicle system tester (Dyno) across different operating systems (Windows and Ubuntu), reducing the time from test writing to test execution by more than 50%

• Developed a full stack Fleet Management Tool that enabled the planning and coordination of the NIO Engineering Fleet with scheduling, firmware status, map location, FOTA (Firmware Over the Air) triggers, and vehicle notes• Lead the delivery of an automated Vector CAN logging system that records all CAN traffic of each vehicle in NIO’s Engineering Fleet• Integrated the Jenkins Continuous Integration Server with each Systems HIL Platform to enable remote test triggering, automated results reporting, and continuous regression testing• Implemented a PTC to JAMA to JIRA integrator for the Systems Engineering Team leveraging their REST APIs to continually monitor and update requirements

• Designed and built a Firmware Validation Platform for the Model 3 Seats firmware capable of monitoring all CAN and LIN activity as well as simulating loads and message responses when necessary• Assisted in the development of a test automation framework in Python to perform automated regression testing by creating state machine models• Created a MySQL database to manage the automatic creation of CAN DBCs from a Python script for all the Model 3 ECUs and testing bucks components• Assisted in the development and manufacturing of the Model 3 High Voltage Charge Port simulator for firmware validation automation