Academia Variational LSTM Implementation Variational LSTM implemented based on Gal & Ghahramani's "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" paper MoCo for Self-Supervised Learning Course Work for E9 333 - Advanced Deep Representation Learning @ IISc (Aug - Dec 2022) ADDA & Cycle WGAN for Unsupervised Domain Adaptation Course Work for E9 333 - Advanced Deep Representation Learning @ IISc (Aug - Dec 2022) Contrastive Divergence for Energy Based Models Course Work for E9 333 - Advanced Deep Representation Learning @ IISc (Aug - Dec 2022) Cycle Wasserstein GANs Course Work for E9 333 - Advanced Deep Representation Learning @ IISc (Aug - Dec 2022) Variational Auto-Encoders Course Work for E9 333 - Advanced Deep Representation Learning @ IISc (Aug - Dec 2022) Natural Language Inference Course Project for E0 270 - Machine Learning @ IISc (Jan - Apr 2022) Implementing Curriculum Induction for Safe Reinforcement learning (CISR) Course Project for E1 277 - Reinforcement Learning @ IISc (Jan - Apr 2022) Visualisation Course Project for DS 294 - Data Analysis & Visualisation @ IISc (Feb - Jun 2021) CMOVA BCI EEG Collection & Prediction using ML Algorithms @ RVCE (Jan - Jun 2016) Hackathons Amsterdam Open MRI Dataset NeuroHackademy 2022 Industry Amazon Pay Movies SDE @ Amazon Notification Recommendation Engine Data Scientist @ Tapzo News Clustering Data Scientist @ Tapzo Food Recommendation Engine Data Scientist @ Tapzo