Shaun D'Souza

Exploring an ecosystems enabling for AI. Investigating AI/ML algorithms on structured and unstructured data on the web.

Employment

Tata Consultancy Services, Mumbai

Associate Consultant

Consumer Business Group

Education

University of Michigan, Ann Arbor, MI

Electrical Engineering and Computer Science Department

MSE, Electrical Engineering, 2005

PhD Pre-candidate, Computer Science and Engineering, 2007

Cornell University, Ithaca, NY

BS, Computer Science, Electrical and Computer Engineering, 2003

Cum Laude

Swami Vivekanand Junior College, Chembur

Fr. Agnel Multipurpose School, Vashi

Honors

Featured book author, TCS Building on belief, TMTC libraries

Evangelist, Mission Algo 2021

Featured in Cornell Alumni Yearbook, 2020

SSRN’s Top Ten download list for CompSciRN: Artificial Intelligence, Dec, 2018

PeerJ Top 5 most viewed article in Programming Languages, 2018

Best Pragati, Wipro, 2015

Gates Millennium Scholar, Bill & Melinda Gates Foundation, 2000 – 2007

Dean’s List – 5 semesters, Cornell University

Book

A Retrospective on Enabling a Connected World: The Race for the Original Primordial Soup

Audiobook

Recent Publications & Patents

S. D’Souza and G. Jain. Sizing range of items based on distribution centres and stores in a supply chain network. Granted US Patent 12518311 B2. Filed IN Patent 202321066595, 2026 [pdf]

S. D’Souza and G. Jain. Method and system to streamline return decision and optimize costs. Granted US Patent 12561640 B2. Filed IN Patent 202321061414, 2026 [pdf]

S. D’Souza, D. Shah, A. Allati, and P. Soni. Making forecasting self-learning and adaptive – pilot forecasting rack. arXiv preprint arXiv:2306.07305, 2023 [pdf]

S. D’Souza. Intelligent supply chain management using quantum. hal-03740772, 2022 [pdf]

P. Pathakota, K. Zaid, A. Dhara, H. Meisheri, S. D’Souza, D. Shah, and H. Khadilkar. Learning to minimize cost to serve for multi-node multi-product order fulfilment in electronic commerce. In Proceedings of the 6th Joint International Conference on Data Science & Management of Data (CODS-COMAD), pages 176–184, 2023 [pdf]

S. D’Souza. Implementing reinforcement learning algorithms in retail supply chains with openai gym toolkit. arXiv preprint arXiv:2104.14398, 2021 [pdf]

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