Formal Education: Honours ComSci Student.
Subfield Aim: ML/Deep Learning Researcher and Engineer.
See my LinkedIn.
My first go at formal research has a theoretical, and practical focus on:
- Efficient, modular benchmark and config assembly over: Deep learning architectures, candidate optimisers, datasets. Study is over inductive learning biases and search trajectory properties that explain certain behaviours.
- My documenting of the mathematical and geometrically visualised knowledge over linear and non-linear algebra gained.
To be open sourced once complete for reproducibility.
Modula, related to my research, as the next stage. Next goal is to learn about it more and perhaps contribute.
- To be updated *