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Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models

Shivani Tripathi, Pushpanjali Nema, Aditya Halder, Shi Qiao, Alekh Jindal

Jul 2025 arXiv:2507.05573 [cs.DB]

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Searching Clinical Data Using Generative AI

Karan Hanswadkar, Anika Kanchi, Shivani Tripathi, Shi Qiao, Rony Chatterjee, Alekh Jindal

May 2025 arXiv:2505.24090v1 [cs.DB]

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GEqO: ML-Accelerated Semantic Equivalence Detection

Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian

SIGMOD 2024 Santiago, Chile

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Turning Databases Into Generative AI Machines

Alekh Jindal, Shi Qiao, Sathwik Reddy Madhula, Kanupriya Raheja, Sandhya Jain

CIDR 2024, Chaminade Chaminade, USA

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PikePlace: Generating Intelligence for Marketplace Datasets

Alekh Jindal, Shi Qiao

VLDB 2023 Vancouver, Canada (Demo paper)

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Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning

Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Groemling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo

SIGMOD 2023 Seattle, USA

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Predictive Price-Performance Optimization for Serverless Query Processing

Rathijit Sen, Abhishek Roy, Alekh Jindal

EDBT 2023 Ioannina, Greece

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Query Optimizer as a Service: An Idea Whose Time Has Come

Alekh Jindal, Jyoti Leeka

September 2022 SIGMOD Record

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Pipemizer: An Optimizer for Analytics Data Pipelines

Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka

VLDB 2022 Sydney, Australia

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Deploying a Steered Query Optimizer in Production at Microsoft

Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal

SIGMOD 2022 (Industry) Philadelphia, US

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Towards Optimal Resource Allocation for Serverless Queries

Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal

EDBT 2022 Edinburgh, UK

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PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!

Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, H M Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, Abhishek Roy, Irene Shaffer, Soundarajan Srinivasan, Markus Weimer

VLDB 2022 Sydney, Australia

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