I'm Moses, a Year 11 student based in the UK with a specific interest in systems that are both technically correct and operationally reliable. That means I care about things like error handling, API rate limits, network segmentation, and whether the agent actually degrades gracefully when a tool call fails at 2 a.m.
Most of my projects start as a concrete problem I run into: Oracle Cloud provisioning errors, agent orchestration that breaks on edge cases, or networking configs that need real traffic to validate. I prototype quickly in Python, then harden the parts that matter.
My interest in quantum engineering isn't a vague aspiration - it's a long-term direction that motivates what I learn now: linear algebra, computational complexity, low-level systems programming, and the physics that underpins quantum information. I'm building the technical vocabulary today so I can work at that front when the time comes.
I'm also an agentic prompt-driven developer: I design systems where AI agents coordinate tools, handle failures gracefully, and execute multi-step workflows under real constraints — not just single-shot chat interactions. I run LatticeAG, an agentic AI lab shipping 24 products across six series — Poly (orchestration), Lex (edge & safety APIs), Vek (agent surfaces), Axi (context & memory), Vis (workspaces & observability), and Forge, the model factory that produced LAT-Ag-2.6B, an open-weight edge agentic model. The philosophy holds across all of it: build the orchestration, safety, and observability layers first, then let the agents do meaningful work.