LLM Interface: Introduced the in-browser terminal feature. Worked on improving the code editor and implementing persistent file system.

AI Voice Assistant: In progress. Responsible for introducing the communications infrastructure, which enabled phone call, sms, email and whatsapp.

AI Browser Control: In progress. Worked on the custom browser controller with the Unify LLM API.

End-to-end model development and deployment, such as data analysis, model training, hyperparameters tuning, model selection and cloud deployment on Azure.

Worked with linear models, trees, random forest, XG boost and light gradient boosting machine (LGBM).

Pipeline External Corrosion: ML. Built pipeline external corrosion depth & length prediction models of >90% accuracy.

Pipeline Freespan Formulation: ML. Built subsea pipeline height & length prediction models of >70% accuracy.

HIP: Computer Vision. Worked on working person detection through object detection with YOLO, pose estimation and vLLM with GPT4o. Involved prompt engineering for better inference performance.

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)