Optimize large-scale ML pipelines and infrastructure for training datasets, ensuring scalability, reliability, and efficient workflows. Collaborate with teams to advance model training, monitor performance, and improve data processing systems.

Take ownership of building and evolving large-scale ML infrastructure, ensuring reliability and performance while enabling efficient training and experimentation across diverse data workloads in a collaborative environment.

Lead the charge in designing scalable ML infrastructures that empower reliable model training and dataset generation for evolving business needs. Collaborate with cross-functional teams to optimize resources and ensure robust, efficient ML workflows.

Lead the design and evolution of large-scale offline ML platforms, ensuring reliable pipelines for dataset generation and distributed model training, while collaborating with cross-functional teams to optimize performance and scalability.

Drive the development of AR/VR technologies by designing robust cross-platform APIs and frameworks using C# and C++. Collaborate across teams to enhance creator experiences while solving complex technical challenges in a fast-evolving industry.