Multithreaded-Server Perfromance Evaluation

This was a course project under Dr. Suchetana Chakraborty, IIT Jodhpur. Although this is not relevant to Machine Learning, but this project taught me many necessary lessons. I learnt about various ways in which servers work, different scheduling policies and ways in which they affect server performance. This may be helpful while designing large api’s or deploying machine learning models on servers, As we need to handle multiple requests at a single time, thus ensuring the most optimal server architecture will be able to handle more users.

Quantum Machine Learning

This Project was a research based project which I did under the supervision of Dr. V.Narayan and Dr. Subashish Banerjee, IIT Jodhpur. I found the field of quantum computing really intriguing. Especially, with the recent algorithms which have come up. This project aimed at performing machine learning and solving tasks using quantum computing algorithms. Learnt about IBM’s qiskit library used for quantum computing tasks in python. Integrating Quantum Computing and Machine Learning to create a qubit based classifier.

Retinal Image Analysis

Did this project under the guidance of Professor Dr. Anil Kumar Tiwari from IIT Jodhpur. The motivation of this project was to create a software which would assist in automated detection of retinal diseases taking the images of the retinas as input. Led a team of 3 members and implemented various deep learning algorithms related to Hypertensive Retinopathy detection. Implemented Retinal Vessel Segmentation and worked on image enhancement algorithms. Analyzed differentImage Classification models like VGG16, ResNet50, for detecting diseases from the images of the retinas.