Review Paper. Studied existing tech related to image and music generations, majority being text-conditioned.

Overview Paper. Developed POCs for Diffusion based Music-conditioned Image Generative AI and Transformer based Image-conditioned Music Generative AI.

Applied PageRank and HITS for analysing key driver in the evolution network.

Analysed the community structure of the network with modularity.

Explored the effect of different RL algorithms in competitive vs. cooperative MARL settings.

Algorithms: Advantaged Actor-Critic (A2C), Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimisation (PPO)

Explored custom training features and hyperparameters tuning for boosting inference accuracy.

Algorithms: Logistic Regression, Kernel Support Vector Machine (SVM), Neural Network, Gradient Boosting, Random Forest, Ridge Classifier

Explored transformer-based Machine Learning models for tabular Natural Language Processing (NLP).

Full-stack development on chatbot interface, backend processing and documentation website.

Features: echo, cat, ls, command aliasing, real-time syntax highlighting, arrow keys for viewing history and command traversing

Containerised application with Docker.

Implemented the feature of eigenvalues and eigenvectors computation.

Other Features: Basic Mathematical Operations, Determinants, Inverse Matrix, Linear System of Equations, etc.

Developed a minimal, user-friendly interface for straightforward usage.

Sensor Object Lead. PID control and calibration, Pulse-Width Modulation and Arduino coding.

Developed user interface for adjusting pH, temperature and stirring speed.