This project leverages big data technologies and machine learning to analyze e-commerce user behavior patterns and predict purchase likelihood from a massive clickstream dataset. Built with PySpark…

An intelligent radiological assistance system that combines YOLOv11-L object detection with comprehensive MLOps infrastructure to help radiologists identify and localize chest X-ray abnormalities w…

Wanna know what your model sees? Here's a package for applying EigenCAM and generating heatmap from the new YOLO V12 model

LlamaIndex Powered RAG for PDF, TXT and DOCX files with Tesseract OCR support, Semantic chunking, Document citations with direct page display, Advanced Caching and Duplicate Detection with Redis Ve…

Optimized ResNet Architectures and Training for CIFAR-10 Classification under Parameter Constraints

My current CV

Some of the courses I had completed and didn't want to pay just for their certificate

All the code for my project done at Red Hen Labs | Creating a multi-modal solution for the Emile Male pipeline

Detection of pneumonia from X Ray images using Pytorch

Final Pipeline for Gesture classification

My training pipeline for applying style transfer on COCO dataset and finetuning the yolo v8 model on it.

Just some models I've trained for my research to access them remotely.

These are just some notebooks I practised in for learning to apply Class Activation Methods

Image Segmentation of Car Images using PyTorch and deployed using Heroku

Face Recognition App made with Kivy with the model trained using Siamese Neural Network and personal face images along with LFW dataset for negatives

Collection of stuff I've done in the summer school... Mostly for my reference

Neural-Net From Scratch - An implementation of the neural network using only python and numpy.