I like sharing technical details. Here are a selection of blogs I wrote over the years.
This project implements a comprehensive Reinforcement Learning framework capable of solving both discrete control tasks (Atari games using DQN) and continuous control tasks (MuJoCo robotics using PPO). It is designed for modularity, scalability, and ease of experimentation, featuring automated parallel training, configuration-driven evaluation, and robust headless visualization support.
Please refer to this ariticle for details.
I dove into the world of Automatic Speech Recognition (ASR) by building a Large Vocabulary Continuous Speech Recognition (LVCSR) system using the Kaldi toolkit.
This project is a complete implementation of Vision Transformer (ViT) applied to small-scale datasets (especially CIFAR-10), including extensive exploration.
