PhD computer science graduand and director for Deep Cypher Ltd..
I am pretty-hardcore into my Linux, Kubernetes, and deep learning. I build platforms with Kubernetes to enable AI, as well as building the AI itself which at scale can be quite problematic. I play the long game, as building these sorts of platforms is not a short gentle stroll, but a marathon! I solve problems as far ahead in the future as I can both perceive and expect, in the aim that they never become experienced problems.
I am an avid homelabber, where I experiment with my tooling, and expand my horizons of understanding as I am always learning, adopting new techniques and technologies early. My long term goals are to build and run my company full-time, and become top in my field for deep learning and AI platforms.
Primary research:
- Deep Learning for agricultural yield prediction.
- Fully Homomorphic Encryption (FHE), and encrypted deep learning as a service (EDLaaS).
- Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting
- EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs
- Fully Homomorphically Encrypted Deep Learning as a Service
- The Augmented Agronomist Pipeline and Time Series Forecasting
- Nemesyst: A hybrid parallelism deep learning based framework applied for internet of things enabled food retailing