Designed a comprehensive model training, refinement and monitoring framework, with smart actors and metrics, to accelerate planning and prediction algorithm development and model evaluation.

Implemented data extraction and augmentation pipelines, significantly improving input feature quality and diversity for ML models.

Enhanced vehicle performance in complex scenarios such as unprotected left turns and pedestrian recognition.

Building distributed systems for HD map creation incorporating real-time and learned priors.

Enhanced application deployment and introspection, significantly improving operational efficiency and visibility.

Created a real-time health monitoring platform for data centers, reducing support calls by 45%.

Built scalable solutions with command-line interfaces and RESTful APIs, accelerating multicloud deployment by over 40%.

Developed a asynchronous multicasting system in C++, enhancing video viewing experiences for multiple users. Implemented algorithms that increased multicast rate by ~10x.

Collaborated with esteemed professors Prof. Aaron Wagner and Prof. Kevin Tang on research experiments, gaining valuable insights in video processing and network protocols.