📅 2025-07-06 — Session: Developed Job Search Automation Pipeline MVP
🕒 19:40–21:10
🏷️ Labels: Job Search, Automation, Pipeline, MVP, Development
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to develop a Minimal Viable Product (MVP) for a Job Search Automation Pipeline, focusing on key components such as job listing scoring, cover letter generation, and dynamic configuration.
Key Activities
- Weekly Plan for Email Parsing Product Development: Outlined a structured weekly plan for an email parsing product, focusing on user onboarding and background functionality.
- Job Search Helper Development Framework: Established the foundational structure for a Job Search Helper application, emphasizing input sources and testing frameworks.
- Pipeline Restructuring for Job Search Helper v1: Detailed the status and actionable steps for restructuring a job search pipeline.
- Designing the
ranker.pyScript: Implemented a script for scoring job listings based on user preferences. - Configurable Scoring Layer Implementation: Developed a configurable scoring layer using YAML for dynamic tuning of keywords and weights.
- Cover Dispatcher Module Design: Designed a module for generating tailored cover letters using an LLM.
- Job Search Automation Pipeline Blueprint: Outlined a structured blueprint for the pipeline’s layered architecture and orchestration plan.
Achievements
- Completed the design and implementation of key modules for the Job Search Automation Pipeline.
- Established a dynamic scoring system and cover letter generation process.
- Created a comprehensive blueprint for the pipeline’s architecture.
Pending Tasks
- Further expand the cover dispatcher module to enhance functionality.
- Integrate additional feedback loops for continuous improvement of the pipeline.