Ridhima Garg

* Working with Language Models to build custom LLM framework. * Automatic Prompt Engineering for InstructGPT. *LangChain, OpenAI

* Secure AI: Defense Techniques for Model Extraction Attacks on Deep Learning Model * ML Robustness

* pylibCZIrw library which deals with CZI (Carl Zeiss Image) format for microscopic data. * ApeerML: RCNN-based image analysis and instance segmentation * Deployed and monitored machine learning models on AzureML using Kubernetes

* Insurance Claims Process Automation: Document classification using CNN based deep neural network folder by object detection. * Implemented Tesseract OCR for text detection from images.

Major Courses *Deep Learning *Mathematics of Learning *Machine Learning *Advanced deep learning *Business Intelligence *Machine Learning for Time Series *Pattern Analysis *Pattern Recognition *Explainable Machine Learning Minor Project *Ai-based analysis of continuous production line sensor data. *Denoising Diffusion model on X-ray dataset.