Machine Learning Engineer at Apple
2021 — Now
United States
2019 — 2021
San Jose
• Deployed optimized perception deep learning models into autonomous driving platform.
• Deploying low precision/ mixed precision inference of DL models to autonomous stack.
• Cross-functional collaboration across teams to design and evaluate a practical next-generation computing system for mobility software stack.
2017 — 2019
• Architected, built and maintaining a linearly scalable deep learning training HPC system.
• Next generation hardware exploration for accelerated inference and training of Deep Learning applications.
2013 — 2017
San Jose, CA
GPU-Accelerated computing platform for large scale Deep Learning applications.
Research on the use of half precision floating point in deep learning training.
Worked on development of Cloud Platform for intelligent systems.
Development of resource affinity for Hadoop YARN, along with resource exclusivity.
2009 — 2013
Richardson, TX
Devise programming projects, Evaluate assignments, Conduct tests, Computer lab assistance
Subjects:
Advanced Operating Systems, Advanced Computer Networks, Mobile Computing,
Combinatorics and Graph Algorithms, Telecommunications Network Management,
Computer Science II: Java
The University of Texas at Dallas
Manipal Institute of Technology