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flamehaven
Yun Kwansub
About
Top Skills
Projects
Scientific & BioAI Infrastructure
Visit Project open_in_new Sep 2025 - PresentScientific systems need more than automation. They need traceable assumptions, screened hypotheses, and outputs that can be inspected by technical stakeholders without hand-waving.
Flamehaven approaches BioAI and scientific infrastructure as high-stakes engineering: evidence pathways, reviewable artifacts, and architectures that stay useful when the domain becomes more demanding.
Reasoning / Verification Engines
Visit Project open_in_new Jun 2025 - PresentReasoning infrastructure matters when downstream decisions are expensive, regulated, or irreversible. In those environments, plausible output without verification is just delayed failure.
Flamehaven treats verification as part of the product architecture itself: not a QA afterthought, but a required layer that shapes which outputs are allowed to survive.
AI Governance Systems
Visit Project open_in_new May 2025 - PresentThe goal is not to add superficial compliance language after a model is already wired into your workflow. The goal is to define where the system may act, when it must stop, and what evidence exists for those decisions.
Flamehaven uses governance as a systems problem: constraints, audit trails, review surfaces, and runtime behavior should align. If they do not, the architecture is still fragile even if the demo looks polished.