These pages focus on the problem, the system shape, and the tradeoffs that mattered most.
I built Planera as an analytics workspace where planning, SQL generation, validation, and execution stay visible enough for a human to trust the answer.
I built Contour as a planning copilot that turns vague sprint goals into scoped work, priority signals, and assignment recommendations grounded in how a team actually operates.
I built a model-agnostic adaptive inference framework that cuts Stable Diffusion v1.5 latency without training or fine-tuning. It combines local LLM prompt complexity estimation with latent-convergence early stopping, reducing average runtime from 70.84s to 39.17s while preserving CLIP alignment.