Analyzed capabilities of Kibana dashboards to design and create visualizations of relevant KPIs that meet requirements of different robotics test result data

Initiated collaboration with internal Elastic team to define data upload and storage requirements for project scaling

Established a proof of concept for HTTP communication capability between NGC Docker containers

Evaluated potential solutions for scaling the generation of scenarios used in verifying autonomous vehicle algorithms in the VR simulator on DRIVE Constellation platform.

Began the development of a constrained randomized scenario library and determined the additional features in DriveSim required to make progress.

Researched and compiled information on the traffic modeling used in SUMO for integration with DriveSim.

Developed tool in Python that integrates the memory tuning guide/rules into an

intuitive GUI-based format for simpler editing of the BCT/DVFS tables of Tegra SOC.

Interpreted memory shmoo results and automated the generation of optimized

inbound/outbound timing margins and Vref settings for SOC-memory interface.

Accelerated the memory validation process with utilization of the tool by internal

engineering teams during SOC bring-up and customer support teams on projects

Identified object labels to train deep neural networks that construct the model utilized

in the development of autonomous driving.