As a Software Developer at Arcturus Business Solutions, I work with various technologies such as GoLang, Python, JS and C++ to design and develop software solutions for clients. I have experience with frameworks like Tensorflow, ReactJS, NodeJS, Django and Flutter and have used libraries like g-streamer and FFMPEG. Have also developed and maintained CI/CD pipelines for various services.During an internship, I developed an app for Coursavy Edu, a platform for subscription-based courses, using Flutter, NodeJS, and Firebase.My passion for machine learning and quantum computing led me to pursue a master's degree in electrical and computer science with a minor in physics from IISER, Bhopal. For my master's thesis, I explored and implemented various discriminative and generative machine learning algorithms and their quantum variants using Python, Qiskit, Pennylane, TensorFlow, and PyTorch. I described a hybrid quantum variational autoencoder and trained it on MNIST and Udacity self-driving datasets, achieving better results than a classical VAE model. I also compared various existing Quantum CNN and Quantum GAN methods. I implemented quantum algorithms like HHL, Grover's, and QFT, which can be used to gain a speedup in existing machine learning algorithms like SVM and PCA. I am proficient in Generative Adversarial Networks (GANs) and Qiskit, and I am eager to learn more and apply my knowledge in this exciting and emerging field.