I'm Jeffrey, a technologist who is broadly experienced across roles in crafting technology platforms that shape the future of connected vehicles, smart energy and systems developer tooling. I develop systems that bridge innovation with practicality to realize new possibilities. My passion lies in harnessing data and AI to connect with the world around us.
An intuitive exploration of why Stochastic Gradient Descent often outperforms traditional gradient descent in machine learning optimization, from data efficiency, a focus on progress, and leveraging randomness.
I used prompt engineering and RAG to have Perplexity's Default LLM design a process for a demographics fairness audit of the Stable Diffusion v2.1 text-to-image model.
I used prompt engineering and RAG to get LLMs to pose as ethical theorists and react to a contemporary AI ethics dilemma, the potential adoption of social robots within public facilities for vulnerable and special needs children.