Large Language Models
Fine-tuning, retrieval-augmented generation, long-context workflows, evaluation pipelines, and multimodal reasoning experiments.
JSSAH is a compact digital space for research notes, engineering experiments, AI applications, system design, and future creative technology projects.
This page is designed as a clean personal gateway rather than a crowded résumé. Each module can later become an independent subpage, repository, essay, or product entry.
Fine-tuning, retrieval-augmented generation, long-context workflows, evaluation pipelines, and multimodal reasoning experiments.
Authentication, file infrastructure, API design, edge deployment, database-backed applications, and personal platform architecture.
Games, visual interfaces, simulation, creative tools, and software experiences where technical systems become expressive products.
My current interests concentrate on the boundary between model capability and system realization: how AI models are trained, evaluated, deployed, constrained, and converted into reliable tools.
Ideas provide direction; systems give them consequence.
JSSAH is intended to be a refined interface for projects that sit between academic inquiry, independent engineering, and long-term entrepreneurial ambition.
The homepage is intentionally lightweight: one file, no dependency, no build step. It can be deployed directly on Nginx, Cloudflare Pages, Vercel, or any conventional web host.
Upload this file as index.html to the root directory of jssah.com.
Add pages such as /research, /projects, /notes, or /contact later.
Dark, restrained, technical, and premium — close to the visual language of your SZR.HK and future Silope-style identity.