Sotabase

Career

· Research Scientist, Amazon AGI Autonomy2024–
· Research Scientist, Adept AI Labs2022–2024
· Master's in Computer Science, University of California, Berkeley2017–2019
· PhD in Computer Science, University of California, Berkeley2017–2022
· B.Tech. in Computer Science and Engineering, Indian Institute of Technology, Kanpur2013–2017

Publications (13)

AutoPandas: neural-backed generators for program synthesis
Proc. ACM Program. Lang. · 2019
85
cited
Phoenix: automated data-driven synthesis of repairs for static analysis violations
ESEC/SIGSOFT FSE · 2019
72
cited
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
arXiv.org · 2017
63
cited
Neurosymbolic repair for low-code formula languages
Proc. ACM Program. Lang. · 2022
18
cited
To be precise: regression aware debugging
Conference on Object-Oriented Programming Systems, Languages, and Applications · 2016
13
cited
VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks
International Conference on Automated Software Engineering · 2021
11
cited
Gauss: program synthesis by reasoning over graphs
Proc. ACM Program. Lang. · 2021
7
cited
Phoenix: A Tool for Automated Data-Driven Synthesis of Repairs for Static Analysis Violations
2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 2020
7
cited
Regression aware debugging for mobile applications
Mobile!@SPLASH · 2016
3
cited
1 Neural-Backed Generators for Program Synthesis
2019
1
cited
Neural Inference of API Functions from Input–Output Examples
2018
1
cited
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models with Human Feedback
Conference on Empirical Methods in Natural Language Processing · 2025
Tools and Techniques for Building Programming Assistants for Data Analysis
2022
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Rohan Bavishi | Researcher Profile | Sotabase | Sotabase