Building and optimizing stochastic models for physics, finance, and biological applications. Project aim is to optimise development of stochastic model implementations. Focus on improving model accuracy/adaptability.

Developing a fashion app that allows users to find clothes made by independent brands with very high precision. Focus on connecting users with unique, independent fashion brands through advanced search and recommendation algorithms.

Extreme Gradient Boost machine learning model tuning and deployment for recommendations based on inherent properties and user interests. Optimizing hyperparameters and deploying scalable recommendation systems.