San Francisco, CA
Email: abhay.venkatesh[at]gmail[dot]com
LinkedIn
X
Google scholar
Abhay is an AI engineer. He was an early ML engineer at Anduril, working on autonomy and later on frontier models for national security. Before that he did machine learning research. He also angel invests.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement
Will LeVine, Brendan Evers, Sam Saltwick, Abhay Venkatesh
arXiv preprint 2026
paper
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
paper |
code
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn M. Fung, Vikas Singh
AAAI Conference on Artificial Intelligence (AAAI) 2020
paper
Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently
Vishnu Suresh Lokhande, Sathya N. Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh
Midwest Machine Learning Symposium (MMLS) 2019, Best Student Paper
Nondecomposable Data Dependent Regularizers Offer Significant Performance Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn M. Fung, Vikas Singh
Conference on the Mathematical Theory of Deep Neural Networks (DeepMath) 2019
The Case for Unifying Data Loading in Machine Learning Clusters
Aarati Kakaraparthy, Abhay Venkatesh, Amar Phanishayee, Shivaram Venkataraman
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud) 2019
paper
Learning View Invariant Semantic Segmentation for UAV Video Sequences
Abhay Venkatesh, Glenn Fung, Vikas Singh
SDM 2018 Workshop on Artificial Intelligence in Insurance
paper
Abhay Venkatesh, Brian W. Schimpf, Elston Tochip, Jared Newman, Joshua John Bennett, Nikhil Reddy, Samuel R. Elie
Abhay founded: