RL DeepRacer: Proximal Policy Optimization and Cross-task Adaptation Implementation and training of Proximal Policy Optimization (PPO) for AWS DeepRacer autonomous racing: 5-stage curriculum + warm-start transfer to obstacle-avoidance and head-to-bot tasks. Algorithmic Trading Using Deep Reinforcement Learning algorithms BSc Thesis DL Multimodal Representation Learning for Semantic Image Retrieval A systematic investigation of design choices in training contrastive vision-language models ML A Bayesian Approach to Financial Portfolio Optimization A hierarchical Bayesian model that accounts for uncertainty in both expected returns and covariance estimates, utilizing MCMC (NUTS) sampling to obtain posterior distributions