Abstract: Analyzing and improving large-scale deep learning model performance is an ongoing challenge that continues to grow in importance as the model size increases. Come learn how to detect and troubleshoot common performance bottlenecks in PyTorch models using state-of-the-art profiling tools.
Bio: Geeta Chauhan is CTO with 25+ yrs. of expertise in building resilient, anti-fragile, large scale distributed platforms with 1B+ users for startups and Fortune 500s. Built and launched 17+ platforms and countless applications based on AI/Deep Learning, Cloud Computing, Blockchain, Internet of Things, Kubernetes and Mesos Clustering, Data pipelines for real-time and offline analytics, Software Defined Networking, Micro-services, Self-healing, Elastic Scaling.
Women in IT - CTO of the year 2019 award winner and a trusted advisor for Investment firms for Technology due diligence during merger and acquisitions and venture funding and led over a dozen due diligence projects across US and Europe.
AI/Pytorch Partner Engineering Head | Facebook