Experience
Santa Clara, California, United States
Developed and optimized Python-based tools and workflows for in-vehicle data collection, supporting DNN training and KPI dataset creation for the Drive IX platform.
Spearheaded the integration and placement of sensors for passenger monitoring across vehicles
Collaborated and deployed data collection programs with OEM partners to collect data across an extensive range of use cases and users
Worked cross-functionally to integrate driver monitoring with self-driving systems to allow drivers to command navigation and turns based on real-time driver conditions
Built samples in C++ to demonstrate SDK APIs for OEM usage in building in-vehicle applications
Managed and validated IX SDK deployments across Nvidia and OEM partner vehicle fleets
Integrated DNN models into a healthcare application used for patient assistance
Orchestrated and led demos for business partners, C-level executives, and conferences
2018 — 2019
Santa Clara
Assessed and implemented a drowsiness detection system based on steering angle, brake, and throttle inputs in NVIDIA’s Drive platform, enabling partners to leverage it in their platform
Developed a C++ application to actuate a vehicle’s controls depending on driver detection, drowsiness and distraction levels, and body pose to provide an added layer of vehicle safety
Designed an NLU pipeline in Python for an in-car assistant to predict and preserve conversational contexts to enhance natural conversation flows between the assistant and the driver
San Francisco Bay Area
Spearheaded a project to integrate an Elasticsearch and Kibana stack to help teams better streamline their data and analyze it for clients
Researched cluster analysis algorithms to predict block size for financial calculations
San Francisco Bay Area
Optimized SQL queries to develop strategies that improved overall test accuracy by 5%
Designed and maintained metrics to analyze workers’ job accuracy by monitoring test results
Launched an API to monitor client satisfaction with tester reviews and refund those with low ratings
2014 — 2015
Added and debugged front-end features in C# for the platform’s search engine
Analyzed user data and investment performance to create strategies for user engagement
Education
UC Irvine