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15 PROJECTS · 4 CATEGORIES · 2023—2026

Selected Work

METHOD DEPTH

From model training to interface craft.

A second axis over the same work — not where a project lives but what kind of technique it is. Top to bottom: building and adapting model weights, then working in latent space, orchestrating agents, running models at inference, and finally pure interface and geometry craft. Tags are evidence-based; a hollow marker is a secondary method.

01 1

From-scratch training

Designed and trained a model's weights from the ground up.

04 2

Agentic / orchestration

Agent loops, tool-calling, LLM pipelines and self-verification.

05 3

CV / model inference

Runs vision / generative models at inference — real-time, on-device.