Sudipta Sengupta
Ph.D., Electrical Engg. & Computer Science, MIT, Cambridge, USA.
M.S., Electrical Engg. & Computer Science, MIT, Cambridge, USA.
B.Tech., Computer Science & Engg., IIT-Kanpur, India.
ACM Fellow, IEEE Fellow (news article), AAAS Fellow
Vice President & Distinguished Scientist, Amazon AWS, Seattle, USA
Email: domain is gmail.com, username is sudipta.sengupta
Dr. Sudipta Sengupta is Vice President & Distinguished Scientist at Amazon AWS where he is leading new initiatives in Artificial Intelligence across AWS Generative & Agentic AI, Databases & Analytics, Developer Experience, Enterprise Productivity, and EC2 infrastructure services, including:
Hardware (CPU/ GPU/ ASIC - Trainium/ Inferentia/ Elastic Inference),
ML frameworks (Tensorflow/ PyTorch/ JAX) and compilers (Neuron/ Neo),
ML services (SageMaker),
AI services (Vision/ Languages/ Speech),
Enterprise semantic search (Kendra),
ML capabilities in databases (Aurora ML/ Athena ML/ Redshift ML),
Natural language interfaces for querying data (QuickSight Q),
Making databases autonomous, self-driving, and secure (DevOps Guru for RDS, GuardDuty for RDS),
Automatic code generation based on programming context with private codebase customizability (Code Whisperer),
Bedrock platform for building GenAI apps: foundational Large Language Models, Knowledge Bases, Agents, and Guardrails,
Quick/Q Business for boosting enterprise productivity with generative AI,
Kiro/Q Developer with autonomous agents for reimagining developer experience with the smartest AI Software Engineer, and
Bedrock AgentCore for securely deploying and operating AI agents at any scale.
Sudipta has a 26-year record of sustained contributions to research and development in Computer Science. He brings together a hybrid blend of expertise from industry, research labs, and academia. He has caught early trends in artificial intelligence, computer systems, data management, storage, and networking by starting multiple research projects in these areas that have gone beyond advancing the state-of-the-art in Computer Science. To this end, he has initiated partnerships with engineering groups (in the companies he has worked in) through deep, multi-year engagements and shipped his research in many industry leading, award winning products and services. By successfully formulating and executing this end-to-end approach to research, he has ultimately influenced industry thinking and practice in his areas of work.
Sudipta's work on oblivious routing of network traffic, which makes the network provide predictable guarantees in the face of highly variable and unpredictable traffic, received two major IEEE awards -- the IEEE Leonard G. Abraham Prize and the IEEE William R. Bennett Prize. Variable traffic appears in multiple network settings, including Internet backbone and cloud data centers. Continuing this line of work, Sudipta took on the challenges of networking at scale for the modern cloud data center and designed the network architecture and traffic oblivious routing algorithms for VL2, a new generation data center network that has been deployed in the Microsoft cloud and that introduced foundational ideas that have since been adopted across the cloud computing industry. The VL2 paper received the ACM SIGCOMM Test of Time Award.
Sudipta's research on data deduplication advanced the frontier from backup to primary data, persuaded Microsoft to develop deduplication technology in-house instead of acquiring it from outside, and was incorporated into the new primary data deduplication feature in Windows Server 2012 and I/O deduplication for virtualized storage in Windows Server 2012 R2. Primary data deduplication was rated among the top new features in Windows Server 2012 by customers, analysts, and digerati. This technology provided early thought leadership in the primary storage market where data deduplication is table stakes today, with major storage offerings building upon and extending ideas that Windows Server pioneered.
Sudipta advocated rethinking data storage and management for flash memory, championed the development of the first flash-optimized data store in Bing, and shipped multiple flash based key-value stores and indexing technology in Azure CosmosDB, Bing ObjectStore, and SQL Server Hekaton. Today, engineering groups across the industry see the clear need for flash in their products and services. Sudipta's work has helped develop broad understanding that the software stack needs to be optimized to exploit the benefits of flash and work around its peculiarities.
Previously, Sudipta spent five years at Bell Laboratories, the Research Division of Lucent Technologies, where he worked on Internet routing, optical switching, network security, wireless networks, and network coding. Before that, he was at Tellium, an optical networking pioneer, that grew from an early-stage startup to a public company during his tenure there. At both Lucent and Tellium, Sudipta conceived and led the development of new product features that were critical to customer contract wins. At both these companies, he was also responsible for defining and shaping the company's vision for next-generation Internet backbone architectures.
Sudipta received a Ph.D. and an M.S. in Electrical Engg. & Computer Science from Massachusetts Institute of Technology (MIT), USA, and a B.Tech. in Computer Science & Engg. from Indian Institute of Technology (IIT), Kanpur, India. He was awarded the President of India Gold Medal at IIT-Kanpur for graduating at the top of his class across all disciplines. He has published 100+ research papers in some of the top conferences, journals, and technical magazines. He has authored 100+ patents (granted or pending) in the area of computer systems, networking, storage, and data management. He has taught advanced courses at academic/research and industry conferences. His work has received widespread coverage in media/press and blogs.
Sudipta is ACM Fellow and IEEE Fellow. He has been recognized in the academic/research and industry community with the following awards/prizes/honors:
ACM Fellow for contributions to cloud networking, storage, and data management,
IEEE Fellow for contributions to network design, routing, and its applications to Internet backbone, cloud data centers, and peer-to-peer systems,
AAAS Fellow for distinguished contributions to and leadership in AI and cloud, spanning deep learning, architecture/compilers, networking, storage, and data management,
IEEE Communications Society William R. Bennett Prize for work on oblivious routing schemes for handling highly variable network traffic,
IEEE Communications Society Leonard G. Abraham Prize for work on oblivious routing schemes for handling highly variable traffic in IP-over-Optical networks,
ACM SIGCOMM Test of Time Award for VL2 paper on networking at scale in the modern cloud data center,
ACM SIGCOMM Test of Time Award for DCTCP paper on novel data center network transport protocol for co-existence of latency sensitive and throughput bound flows supporting cloud services.
ACM Internet Measurement Conference (IMC) Test of Time Award for measurement and analysis of data center traffic,
IEEE ICDE Ten-Year Influential Paper Award for designing new database techniques to make the B-Tree run best on modern hardware,
IEEE ICME Best Paper Award for work on peer-to-peer based distribution of real-time layered video,
Bell Labs President's Teamwork Achievement Award for technology transfer of research into Lucent products,
Microsoft Gold Star Award which recognizes important career milestones of people leaders, thought leaders, and customer leaders as they take on roles to increase their contribution to Microsoft's long term success, and
Microsoft Research Technology Transfer Award for shipping research into Microsoft's products and services.
Sudipta has taught tutorials on data deduplication at USENIX FAST 2013 and on data center networks at ACM SIGCOMM 2013, IEEE Hot Interconnects 2012, IEEE GLOBECOM 2011, IEEE Hot Interconnects 2011, ACM SIGMETRICS 2011, IEEE ICC 2011, and ICCCN 2011, on peer-to-peer systems at ACM SIGMETRICS 2010, on oblivious routing of Internet traffic at IEEE ICC 2009 and ACM SIGMETRICS 2008, and on wireless network coding at ACM MOBIHOC 2008.
Sudipta is serving (or, has served) on the
Review panel for Heidelberg Laureate Forum,
IEEE Fellows Evaluation Committee,
Editorial Board for IEEE/ACM Transactions on Networking and IEEE Network Magazine,
TPC as co-Chair for ACM SIGMETRICS 2015 and IEEE Hot Interconnects 2014,
Technical Program Committee for VLDB 2016, IEEE Infocom 2016, IEEE Infocom 2015, ACM MobiHoc 2014, IEEE Infocom 2014, IEEE ICDE 2013, IEEE Infocom 2013, ICDCS 2012, IEEE ICDE 2012, IEEE Infocom 2012, COMSNETS 2012, ACM MobiHoc 2011, IEEE Infocom 2011, ICDCS 2011, ACM/IFIP/USENIX Middleware 2011, COMSNETS 2011, ACM/IFIP/USENIX Middleware 2010, IEEE ICNP 2010, IEEE Infocom 2010, COMSNETS 2010, DRCN 2009, IEEE Infocom 2009, ICNP 2008, IEEE Infocom 2008, and ICNP 2007,
Technical Committee for ACM SIGMETRICS 2009 and ACM SIGMETRICS 2008 Student Thesis Panel, and
Proposal Review Panel for NSF GENI and Swiss National Science Foundation.
Future of Personal AI: Portable, Persistent, User-governed AI Memory
Invited fireside chat at Gates Foundation workshop, March 2026.
Forging the Future: Amazon's take on AI Forge Program Themes (AI Interpretability, Control, Adversarial Robustness, Scientific Discovery, and Human Augmentation)
Invited talk at DARPA/NSF AI Forge program workshop at SRI International, January 2026.
From Data to Knowledge to Cure: The Unlimited Potential of Generative AI in Healthcare & Life Sciences
Invited talk at Sage Bionetworks AI and Biomedicine Speaker Series, October 2025.
Innovating with XLA for the Neuron compiler for AWS Trainium and Inferentia
Invited talk at OpenXLA Developer Summit, October 2024.
How AI is shaping the Future of Advertising at Amazon Ads
Keynote at Amazon unBoxed, October 2023.
Demystifying Large Language Models (LLMs): The Science and Technology under the hood
All Things Distributed series with Werner Vogels (Amazon CTO), April 2023.
The Domain Specialization Opportunity for Deep Learning Across Accelerators, Compilers, and Frameworks
Invited Keynote at Northwest Database Society (NWDS) Annual Meeting, January 2020.
The Heterogeneity Challenge & Opportunity with Deep Learning
Invited Talk at DARPA ISAT Workshop, January 2020.
Domain Specialization for Deep Learning across Accelerators, Frameworks, and Compilers
Invited Talk at UCSD Computer Science and Engineering, February 2020.
Integrating Deep Learning Accelerators with TensorFlow
Talk at the first O'Reilly TensorFlow World conference, October 2019.
The Bw-Tree Key-Value Store: From Research to Production | (video)
Invited Talk at UCSD Computer Science and Engineering, October 2015, and at Northwest Database Society (NWDS), hosted by UW Database Group, January 2016.
The Bw-Tree Key-Value Store and Its Applications to Server/Cloud Data Management in Production
Talk at UC Berkeley AMPLab, Berkeley, CA, USA and at Storage Developer Conference (SDC) 2015, Santa Clara, CA, USA, September 2015.
Evolution of Data Center Networking
Invited Keynote at IEEE LANMAN 2014, Reno, USA, May 2014.
Data Center Networking: What was not Working? What is Working? What needs Work?
Invited Panel Speaker at ICCCN 2013, Nassau, Bahamas, July 2013.
Primary Data Deduplication in Windows Server 2012
Talk at Storage Developer Conference (SDC) 2012, Santa Clara, CA, USA, September 2012.
Primary Data Deduplication: From Research to Windows Server 2012
Talk at Amazon.com, Inc., Seattle, WA, USA , August 2012. (Hosted by James Hamilton)
Smart Pricing: Parallels from the Cloud Computing World
Invited Talk at Smart Data Pricing Forum, Princeton University, Princeton, NJ, USA , July 2012.
App Aware Smart Pricing Enabled Cross-Provider Wireless Network Fabric
Invited Panel Talk at Smart Data Pricing Forum, Princeton University, Princeton, NJ, USA , July 2012.
Speeding Up Cloud/Server Applications Using Flash Memory
Talk at Storage Developer Conference (SDC) 2011, Santa Clara, CA, USA, September 2011.