CV

• Developed strategically vital features to penetrate the UK construction accounting market requiring complex validation and logic in PHP and database migrations.
• Learnt how to navigate vast codebases independently while knowing when to seek help from seniors.
• Worked closely and collaboratively with my PM to navigate the intricate deliverable requirements.

• Designed and implemented a simulation of the company's server cluster in Python and used this to develop more efficient distributed computing algorithms.
• Re-implemented ML models in the TensorRT format as proof-of-concept, slashing inference times by 50%.
• Streamlined API Exception handling enhancing usability.

• Rigorously evaluated ESNs' performance in predicting and forecasting real life and artificial chaotic signals with respect to their frequency signatures, using both novel techniques and those from literature.
• Developed a novel metric for evaluating ESN encoding capacity across the frequency domain.

• Simulation of a deorbiting satellite and prediction of its landing site using an Extended Kalman Filter.
• Project manager of a team of 6, leading software design decisions and collaboration across diverse academic backgrounds.

Rust implementation of the groundbreaking DeepMind RL algorithm. Demonstrated on ultimate noughts and crosses.

Developed a basic RL framework in Python to apply Deep Q-learning to Poker.

Key modules: High performance computing, Scientific machine learning, Algorithms and optimisation, Particle based modelling, Data mining and applied machine learning.

Key Modules: Mathematics of machine learning, Multivariable calculus, Linear algebra, Algebraic topology, Groups and rings