Vartika Singh

· Accelerating Data science at scale across various hardware. · Work across the breadth of leading frameworks and compilers in the field of AI, HPC and h/w s/w codesign. · Work across all the major frameworks and Deep Learning compilers for better integration with GPUs. · Drive adoption for major libraries to facilitate the ingest and data upload pipeline, profiling, distribution strategies with the frameworks such as TensorFlow and PyTorch. · Help understand data flow, sparsity and quantization requirements for a range of hardware. · Work with the development and research groups across major CSPs and within NVIDIA, to identify trends, help identify areas of growth and development, and supplement cutting edge research. · Strong partnership and business development skills blended with keen strategic thinking. · Experience building and managing Engineering and business development teams.

Strategic architect in large scale distributed architectures for end to end machine learning. Built and led a team of AI and big data experts to identify the growth areas across the largest customer bases as well as better modes of architecture to reduce the potential technical debt.

Team lead for architecting the distributed systems platform for scaling the ad targeting platform. Responsible for building algorithms for increasing the targeting funnel as well optimizing the ad targeting. Led the team to port the existing on prem architecture to cloud. As well as helped identify the new business opportunities.

Helped build the algorithm to increase the retargeting funnel, port the crawling algorithm to a Hadoop based architecture, implemented the language and geography based based ad targeting.

As a trainee for Defense Research and Development Organization

Advanced Study Program for Professionals. Completed with grade A.