Sotabase

Career

· Software Engineer, Character.AI2024–
· LLM and Gen AI Consulting, Anyscale2023–2024
· Ray Data, Anyscale2022–2023
· Co-creator, Ray Train, Anyscale2021–2022
· Data Engineering Intern, Affinity Solutions
· Intern, Intuit
· Research Scientist, OpenAI
· Researcher, RISELab (UC Berkeley)
· Intern, Uber
· Bachelor of Science in Computer Science, University of California, Berkeley
· MS in Computer Science, University of California, Berkeley

Publications (11)

Deep Unsupervised Cardinality Estimation
Proceedings of the VLDB Endowment · 2019
231
cited
Targeted Adversarial Examples for Black Box Audio Systems
2019 IEEE Security and Privacy Workshops (SPW) · 2018
198
cited
NeuroCard
Proceedings of the VLDB Endowment · 2020
123
cited
Text2SQL is Not Enough: Unifying AI and Databases with TAG
arXiv.org · 2024
45
cited
Optimizing LLM Queries in Relational Data Analytics Workloads
Conference on Machine Learning and Systems · 2024
23
cited
Selectivity Estimation with Deep Likelihood Models
arXiv.org · 2019
18
cited
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution
arXiv.org · 2025
2
cited
B-Optimal: Resource Allocation Optimization for High Workload Applications
2019
Deep Autoregressive Models for Join Cardinality Estimation
2020
Sotabase
Amog Kamsetty | Researcher Profile | Sotabase | Sotabase