Katana Graph has brought together seasoned experts in relevant technology areas including high-performance analytics, distributed and parallel systems, hardware acceleration, and accelerator virtualization to tackle the challenges of creating the platform of the future for processing irregular and unstructured data.
We are a passionate and hard-working team that values innovation and focuses on impact.
Keshav Pingali is CEO and co-founder of Katana Graph. He holds the W.A."Tex" Moncrief Chair of Computing at the University of Texas at Austin where he has joint appointments in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Oden Institute for Computational Engineering and Science.
The Katana graph engine is based on research performed in Pingali's Intelligent Software Systems Group, which works on parallel programming models, compilers and runtime systems for applications with large-scale, unstructured data.
Pingali is a Fellow of the ACM, IEEE and AAAS. He was awarded the Distinguished Alumnus Award by the Indian Institute of Technology (Kanpur), India in 2013.
Chris Rossbach is co-founder and CTO of Katana Graph. Chris is an Assistant Professor at UT Austin, an affiliated Senior Researcher with VMware Research group, an alumnus of Microsoft Research's Silicon Valley Lab, and a veteran of multiple successful Silicon Valley startups.
He leads the Systems, Concurrent, and Emerging Architectures Research Group (SCEA) at UT Austin and directs UT Austin CS Honors Computer Science and Business Program. His research interests lie broadly in the area of distributed systems, with focus on OS, hypervisor, architectural, and PL support for parallel hardware.
Farshid Sabet is Chief Business Officer of Katana Graph where he is responsible for all business related aspects of the company including Product Management, Marketing, Business Development, Revenue, Partnership and Strategy. Prior to Katana Graph , Farshid was GM of Intel Edge AI business joining Intel through acquisition of Movidius which developed the first dedicated AI and Vision Processor in the industry. Farshid has held Chief Business Officer position at Movidius and previously was GM of Aptina Imaging which was acquired by On Semiconductor, GM of Mobile Business at SanDisk Corp which was acquired by WD.
Farshid earned a Bachelor of Science in Electrical Engineering at Purdue University and has a Master of Science in Electrical Engineering from Santa Clara University. He is a graduate of Stanford Graduate School of Business.
Emmett Witchel is a Principal Engineer and member of Katana Graph's founding team. Emmett is a full professor at the University of Texas at Austin's Computer Science department. He founded InCert software in 1997 which was acquired by Geodesic, Veritas, then Symantec.
His research interests are in operating systems, storage, security, and concurrency.
Gurbinder Gill is a software engineer and member of Katana Graph's founding team. Gurbinder is a recent Ph.D. graduate from the University of Texas at Austin, and a recent intern at Microsoft Research (Redmond), Facebook, and VMware. His Ph.D. research focused on graph analytics and efficient distributed runtime systems and his work has appeared at PLDI, VLDB, ASPLOS, IPDPS, PPoPP, and PACT.
Donald Nguyen is Principal Engineer at Katana Graph. He has deep experience leading projects at several technology startups. He received his PhD in Computer Science from UT Austin where his research focused on efficient parallel runtime systems, and his work has appeared at PLDI, SOSP and ASPLOS.
Tyler Hunt is a software engineer and part of the original core team at Katana Graph. Tyler is a recent Ph.D. graduate from the University of Texas at Austin, and a recent intern at Microsoft Research (Redmond), Visa Research, and Bell Labs. His research interests fall into the general category of operating systems, with focused interests in security, parallel hardware, and virtualization.
Bo Wu is a Principal Engineer with Katana Graph, and an Associate Professor in the Department of Computer Science at Colorado School of Mines. His research lies in the broad field of compilers and programming systems, with an emphasis on program optimizations for heterogeneous computing and emerging architectures. His current focus is on building efficient systems for machine learning and graph processing applications.
Roshan Dathathri is a Senior Engineer at Katana Graph. He is a recent Ph.D. graduate from the University of Texas at Austin and a recent intern at Microsoft Research and Hewlett Packard Labs. His research interests are broadly in the field of programming languages and systems, with an emphasis on optimizing compilers and runtime systems for distributed and heterogeneous architectures. He has built programming languages, compilers, and runtime systems for distributed, heterogeneous graph processing and privacy-preserving neural network inferencing. His work has been published in PLDI, ASPLOS, VLDB, IPDPS, PPoPP, PACT, and IISWC. His current focus is on building large-scale graph databases and systems for machine learning.