• Developed novel, advanced Transformer-based models to enhance motion prediction accuracy.

• 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.

• Developed Error Mining and Labeling components for Continuous Learning Machine (CLM), a self-supervised system for auto-labeling combined with active data mining, to solve long-tail scenarios.

• 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.

• Developed and launched an SDN framework for streamlined data center management.

• 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%.

• Conducted research on cross-traffic perturbations, programming packet clustering scenarios using MATLAB, C and Python.

• 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.