π 2025-07-06 β Session: Job Search Pipeline Development and Scoring
π 19:40β21:10
π·οΈ Labels: Job Search, Automation, Pipeline, Scoring, Development
π Project: Dev
β 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 βJob Search Helperβ 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.