Context

My experience spans product management, instructional & assessment design, high-tech & industrial product & systems engineering, UX, and operations. While this breadth is a strength, it creates a communication challenge, particularly within the constraints of a two-page resume, where only a fraction of relevant experience can be surfaced for any given application.

Traditional resume approaches rely on manual rewriting, making it difficult to consistently surface the most relevant experience for a given role while preserving accuracy and depth.

Role & Scope

I designed and developed a Resume Knowledge Base (RKB) as a structured system for organizing, mapping, and retrieving professional experience to support targeted resume generation.

The system supports:

• Representation of hybrid, cross-domain experience
• Mapping between skills, roles, and achievements
• Selection and compression of content within strict length constraints
• Generation of role-specific narratives and resumes

This work evolved into a semi-automated workflow, combining structured data with prompt-driven generation.

Approach

• Decomposed experience into atomic, reusable units (“canonical bullets”) grounded in specific roles and projects
• Built a skills inventory aligned to functional domains (product, assessment, systems, operations)
• Designed mappings between:
  • skills ↔ experience
  • roles ↔ requirements
  • projects ↔ outcomes
• Developed a retrieval-based protocol to identify relevant experience based on a target role
• Introduced constraints (e.g., two-page limit) as a design requirement, forcing prioritization and compression
• Applied prompt engineering techniques to guide structured transformation of retrieved content into coherent narratives

This approach emphasizes:

retrieval → selection → recomposition, rather than rewriting from scratch

System Characteristics

• Modular — experience components can be reused across roles and contexts
• Traceable — each statement maps back to a specific role or project
• Constraint-aware — optimized for limited space and targeted communication
• Transferable — enables translation of experience across domains
• Protocol-driven — supports consistent, repeatable output generation

Results

• Enabled rapid generation of targeted resumes across multiple industries and roles
• Improved clarity and visibility of transferable skills within a hybrid experience profile
• Reduced loss of detail and inconsistency across iterations
• Established a structured foundation for portfolio development and narrative alignment
• Created a repeatable workflow combining structured data and prompt-based generation

Key Takeaway Communicating complex, hybrid experience under real-world constraints is a systems problem. Structuring experience as reusable knowledge—combined with protocol-driven generation—enables more precise, scalable, and adaptable communication