πŸ“… 2025-07-06 β€” Session: Job Search Pipeline Development and Scoring

πŸ•’ 19:40–21:10
🏷️ Labels: Job Search, Automation, Pipeline, Scoring, Development
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session focused on advancing the development of a job search pipeline and its scoring mechanism.

Key Activities

  • Developed a structured weekly plan for launching an email parsing product.
  • Outlined a strategic plan for the β€˜Job Search Helper’ product, including scope definition and sprint planning.
  • Defined the repository structure and critical components for the Job Search Helper tool.
  • Mapped the existing job search automation infrastructure and proposed a systematic approach for data recovery and MVP development.
  • Restructured the job search pipeline, detailing existing files and actionable tasks.
  • Analyzed GPT logs from June 1st to extract insights for development progress.
  • Summarized daily progress from June 1st to June 7th, focusing on job pipeline development, automation, and scoring.
  • Designed and implemented ranker.py for scoring job listings based on user preferences.
  • Implemented a configurable scoring layer using YAML for dynamic tuning of job scoring processes.
  • Designed the cover_dispatcher.py module for generating tailored cover letters using an LLM.
  • Created a detailed blueprint for a modular, AI-augmented job search engine.
  • Outlined the MVP for a job search pipeline, focusing on lean design and user value proposition.

Achievements

  • Established a comprehensive plan for both email parsing and job search automation products.
  • Progressed significantly in the job search pipeline, including automation and scoring.
  • Implemented a dynamic and configurable scoring system using YAML and Python.

Pending Tasks

  • Finalize the integration of all pipeline components.
  • Conduct thorough testing and debugging of the job search pipeline.
  • Prepare for the product launch of the email parsing tool by next Sunday.