New Hires Include SVP, Legal and Head of China Operations; VP, Engineering; and VP, Business Development
SAN MATEO, CA –January 31, 2022 - Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML,today announced the appointment of Danica Wang, SVP of Global Legal and Head of China Operations; Kiran Mehta, VP of Engineering; and Eric Sun, VP of Business Development, China. All three will be reporting to Alluxio Founder and CEO, Haoyuan (HY) Li.
“These strategic appointments come as Alluxio is growing rapidly and well positioned to meet the increasing demand for our Data Orchestration Platform that enables enterprises to scale analytics and AI workloads across hybrid and multi-cloud environments,” said Li. “Danica will help drive and support Alluxio’s growing footprint in Asia-Pac. Kiran brings extensive technical and industry leadership to Alluxio and has an excellent track record of building high-performing teams and data management solutions that deliver incredible value. Eric will use his considerable expertise to develop and execute Alluxio’s business development, and go-to-market plans, working closely with partners and customers in Asia-Pac.”
Before joining Alluxio, Danica worked as Associate General Counsel with Hillhouse Capital. Before that, she was the head of legal and compliance with Huaneng Invesco, and also consultant of Davis Polk & Wardwell LLP. She holds a Judicial Master degree and BS in Electronic Engineering & Computer Science from Peking University.
Prior to joining Alluxio, Kiran held engineering and product leadership roles at MapR which was acquired by HPE. As VP, Engineering for the MapR Data Platform, his team developed products for running mission-critical, high-performance operational and analytics workloads. Prior to HPE/MapR, at Informatica, he was responsible for the development of Informatica's zero-code high performance Data Integration Platform. Kiran built and managed the infrastructure and partner team of IBM Research's web-scale text analytic platform called WebFountain. Kiran received his Masters degree from McGill University and Bachelors from IIT Delhi.
Before Alluxio, Eric worked as Head of Business Development with Amazon China. Before that, he was the GM of Mobility Solutions with SAP China. Eric joined SAP from Watchguard, where he ran the China business as Greater China GM. Before Watchguard, he was Greater China GM with Data Domain. He holds a BS degree in Physics from Tsinghua University.
Supporting Resources:
Download a head shot of Danica Wang.
Download a head shot of Kiran Mehta.
Download a head shot of Eric Sun.
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About Alluxio
Alluxio, a leading provider of the high performance data platform for analytics and AI, accelerates time-to-value of data and AI initiatives and maximizes infrastructure ROI. Uniquely positioned at the intersection of compute and storage systems, Alluxio has a universal view of workloads on the data platform across stages of a data pipeline. This enables Alluxio to provide high performance data access regardless of where the data resides, simplify data engineering, optimize GPU utilization, and reduce cloud and storage costs. With Alluxio, organizations can achieve magnitudes faster model training and serving without the need for specialized storage, and build AI infrastructure on existing data lakes. Backed by leading investors, Alluxio powers technology, internet, financial services, and telecom companies, including 9 out of the top 10 internet companies globally. To learn more, visit www.alluxio.io.
Media Contact:
Beth Winkowski
Winkowski Public Relations, LLC for Alluxio
978-649-7189
beth@alluxio.com
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News & Press
Alluxio, supplier of open source virtual distributed file systems, announced Alluxio Enterprise AI 3.6. This delivers capabilities for model distribution, model training checkpoint writing optimization, and enhanced multi-tenancy support. It can, we’re told, accelerate AI model deployment cycles, reduce training time, and ensure data access across cloud environments. The new release uses Alluxio Distributed Cache to accelerate model distribution workloads; by placing the cache in each region, model files need only be copied from the Model Repository to the Alluxio Distributed Cache once per region rather than once per server.
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