Hello, I am Rupali
building systems, models, and pipelines.
I am a graduate student in Data Science at the University of Maryland, College Park. I have worked as a Senior Software Engineer (ML & Backend Systems), building large-scale production-grade applications.
My work spans deep learning, computer vision, natural language processing, and cloud deployment, with a focus on designing efficient, scalable pipelines for real-world environments.
I am particularly interested in building compute-efficient, low-latency ML systems that translate research into reliable production-ready solutions.
I contribute actively to open-source. One of the contributions is to MedEval3D, a CUDA-accelerated project for medical image segmentation metrics.
My areas of interest include machine learning systems, algorithms, and system design.
Latest Reading
A3T: accuracy aware adversarial training
Published by Springer
This weekend I read about the research on identifying a cause of overfitting related to current practices of generating adversarial examples from misclassified samples and a proposed solution through an accuracy aware AT method that generate adversarial example differently for misclassified and correctly classified samples.
Read More...
Tech Tales: Insights from Everyday Engineering
Tech Tales : The Mystery of the Multiple Emails (Part 2)
