Hi, I’m Varsha 👋
I’m an AI/ML engineer with expertise in deep learning, self-supervised learning, and large language models (LLMs). I hold Master’s degrees in Biomedical Engineering (UW–Madison) and Electrical Engineering (IIT Bombay, Best Thesis Award), and I’m passionate about building scalable AI systems that create real-world impact.
What I’ve Worked On
- Natural Language Processing & LLMs : Optimized transformer-based models for low-latency, high-throughput applications, including Alexa multilingual intent classification
- Computer Vision & Healthcare AI : Developed YOLOv5 and encoder-decoder networks for histopathology and retinal imaging, enabling precision medicine and early disease detection
- Medical Imaging & Predictive Modeling : Applied ML to MRI and DCE-MRI data for treatment response prediction and pathological complete response (pCR) detection in oncology
- Advanced Research : Exploring self-supervised and contrastive learning, weakly supervised MIL frameworks, and AI for improved robustness and interpretability
Technical Skills
- Programming & Frameworks : Python, PyTorch, TensorFlow, MATLAB, LangGraph
- Core AI/ML Areas : Deep Learning, Transformers, LLMs, Self-Supervised Learning, Multiple Instance Learning, NLP, Computer Vision, Statistical Modeling, Feature Engineering
- Domains : Healthcare AI, Precision Medicine, GenAI
I’m focused on translating cutting-edge AI research into scalable, real-world solutions across healthcare, GenAI, and building intelligent systems that translate research into meaningful, real-world impact.
