Resume & Career Engineer

The Agent

System Architecture: This agent utilizes a FastAPI backend to manage secure, asynchronous document processing via the DeepSeek-V3 API. To protect candidate confidentiality, the system features a Local Redaction Layer that identifies and scrubs sensitive PII (Personally Identifiable Information) before the data is analyzed for semantic alignment. This ensures a privacy-first approach to career document engineering.

Methodology: The GAIL Alignment Protocol

The Resume & Cover Letter Editor utilizes a Semantic Matching Engine designed to bridge the gap between human experience and algorithmic filtering. It operates on three pillars of career document engineering:

• Keyword Synthesis: Rather than "stuffing" keywords, the agent identifies the core competencies required by the job description and weaves them naturally into your professional narrative.

• Active Voice & Quantifiable Impact: The agent converts passive duties into high-impact "Success Statements" using the STAR Method (Situation, Task, Action, Result).

• ATS Structural Integrity: Advice is grounded in "Machine-Readable" standards, ensuring your documents pass through automated filters without formatting errors.

Technical Architecture: The Market Intelligence Protocol

The landscape of hiring technology (ATS) and industry-specific resume standards evolves rapidly. Static templates or "resume builders" often fail to account for real-time shifts in salary benchmarks or emerging role requirements.

The Solution: This agent implements User Research Sovereignty via a Search-Path Protocol. Every revision concludes with a "Relevant Resources & Market Data" button. The system intercepts the synthesized job titles and requirements to generate high-precision search queries for LinkedIn Insights, Glassdoor, or specialized Bureau of Labor Statistics (BLS) data. This ensures the user has immediate access to live hiring trends and salary benchmarks relevant to their specific niche.

Prompt Guide for High-Value Results

To generate the most competitive and tailored career documents, use prompts that focus on quantification and narrative bridge-building:

• The "Impact Quantifier" Prompt: "Rewrite my experience managing a team of 5 for a Project Manager role using the STAR method to highlight a measurable increase in efficiency."

• The "Gap Bridge" Prompt: "I am transitioning from Education to Corporate Training. Reframe my 'Classroom Management' skills into 'Stakeholder Leadership' for this specific job description."

• The "Rhetorical Tone" Prompt: "Draft a cover letter opening that maintains a 'Collaborative' tone while referencing the company's recent expansion into sustainable energy."

Explainer

Technical Insight: This Jupyter Notebook demonstrates the raw semantic-matching logic and keyword-extraction algorithms used during the research phase. The Live Agent (above) represents the transition to a production-ready application that incorporates secure API handling, a responsive frontend, and dynamic market data integration.

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