Research Entropy-Regularized Deep Reinforcement Learning with Linear Programming Study of Entropy Regularization through Linear Programming formulations and its feasibility in large scale settings VQ-VAE paper extension improving reconstruction error. Developed a modification on the VQ-VAE model (image generation) that improves by a factor of 2 the reconstruction error on the ImageNet dataset. Legal Research Assistant using LLMs Development of a Research Assistant in the realm of Law to draft case briefs Data Science Visual Analytics WebApp integrating ML and XAI for car price predictions Interactive platform leveraging data analytics and machine learning to predict car prices. Communities and Crime Analytics with Big Data Analyzing the factors contributing to violent crime rates across communities in the United States Time-series analysis for weather data Machine Learning Anomaly Detection Hierarchical Deep Learning Model Hierarchical Deep Learning model for anomaly detection in water consumption data, presented with an interactive web visualization. Information Retrieval using Transformer Based Embeddings A search engine of tweets related to the russo-ukranian war using transformer based embeddings Computer Vision for mass prediction of kelp Development of a computer vision pipeline that accelerates subsidy delivery by deriving total kelp mass from an image.
