Projects

Machine Learning for 6G CSI-RS Processing

Developed novel machine learning-based methods for CSI-RS (Channel State Information Reference Signal) processing for 6G standards, achieving NMSE in the order of 1e-3 using UNet-inspired architectures.

ML Deep Learning 6G Signal Processing Research Industry

GitHub

rawML - ML Implements from scratch

Developed a custom ML library implementing neural networks from scratch in Python and NumPy.

ML Python Education Deep Learning

GitHub

Reinforcement Learning for Hangman Game

Designed a Deep Q-Network (DQN)-based agent to play Hangman by predicting optimal letter choices, using RNNs for memory.

RL ML Games Deep Learning

GitHub

LSTMSE-Net: Audio-Visual Speech Enhancement

Developed LSTMSE-Net, an audio-visual speech enhancement model to isolate and enhance speaker audio in noisy environments using temporal feature extraction with RNN and LSTM units.

ML Deep Learning Audio Processing Research Publications

GitHub Paper

Deep Learning for Liver Tumor Segmentation

Developed novel U-Net based deep learning models for liver tumor segmentation, achieving state-of-the-art accuracy of 98% using advanced architectures like Squeeze-and-Excitation Networks and Atrous Spatial Pyramid Pooling.

ML Deep Learning Medical Imaging Research Publications

GitHub Paper