Trishul Lab, UT Austin
June 2021 - Present
Developing neuro-symbolic techniques for visual reasoning, program synthesis, and structured
learning. Working on foundational models for visual reasoning and scientific discovery.
Madhusudhan Parthasarathy's Group, UIUC
August 2020 - May 2021
Developed a novel dataset of visual discrimination puzzles (VDPs). Used Python/PyTorch/Tensorflow to develop and test computer vision models to achieve state-of-the-art performance on VDPs.
Utilized few shot classification models like a scene-graph generator (Mask RCNN backbone), an object detector (YOLO backbone), a VAE prototypical model, and a triplet-loss contrastive model.
Sasa Misailovic's Group, UIUC
February 2020 - December 2021
Formulated and engineered a compiler for efficient low-precision probabilistic programming in
C++17. Developed experiments for the project and built a testbench measuring power usage,
accuracy, and runtime on various platforms.
Data Science Intern
May 2018 - August 2018
Implemented three features for conversion rate (CVR) and click-through rate prediction models extensively used within InMobi.
These features were based on hierarchical clustering of geospatial data and organic installs. Results and analysis used to improve CVR prediction models.