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dae-nan/README.md

Hi, I’m Daenan

Builder Product Manager working at the intersection of AI, risk technology, and regulated banking.

My background spans software engineering, business analysis, product management, and enterprise transformation. I build and experiment with AI assistants, internal tools, workflow prototypes, eval-driven product ideas, and decision-support products - especially for complex, expert-heavy domains like risk, governance, compliance, and financial workflows.

What I focus on

  • AI-assisted internal products for regulated workflows
  • Rapid prototyping from problem statement to working demo
  • Evals and quality thinking for AI-enabled systems
  • Decision-support tools for risk, capital, liquidity, and governance use cases
  • Builder PM practices: product thinking with technical depth

What I’m building / exploring

  • AI assistants for expert-heavy enterprise workflows
  • Workflow and decision-support tools for banking and risk domains
  • Product prototypes built with AI-assisted coding tools
  • Better ways to move from PoC to production-grade systems
  • Lightweight testing and eval patterns for AI-enabled products

Selected projects

Prototype exploring AI-assisted workflow design and interaction patterns.

Experiment focused on liquidity-related product ideas, workflows, or user-facing prototypes.

Prototype exploring capital optimisation concepts and decision-support thinking.

Experiment around modular product thinking for RWA / capital-related workflows.

Early exploration of model-related workflows, product structure, or governance support.

How I work

I’m especially interested in the gap between:

  • idea vs usable product
  • AI demo vs production-worthy system
  • requirements-heavy work vs builder-oriented product discovery

I care about:

  • clear product framing
  • practical system boundaries
  • human review and control points
  • evaluation and reliability
  • making complex workflows easier to understand and operate

Certifications / learning

Selected learning areas include:

  • AI Product Management
  • AI Evals
  • Agentic workflows and enterprise AI patterns
  • Product strategy for AI-enabled products
  • Testing and quality practices for modern product teams

Connect

Current theme

Building AI-enabled products for complex regulated workflows

Popular repositories Loading

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