I architected an intelligent, autonomous n8n agent that manages the entire job application lifecycle. The workflow performs a real-time sweep of job boards using specialized APIs and automatically loops over every result. It sends the Master Resume of an
M.Tech in Data Science from NIT Trichy and the target Job Description into a Groq-powered AI model for optimization.
When the AI identifies a strong lead (Score > 60%), it triggers a multi-step Update loop. The agent surgically injects aligned bullet points into a native Google Doc and applies a high-precision JavaScript cleanup to remove messy technical formatting. This ensures the finalized resume is perfectly aligned and looks like it was manually crafted by a top-tier professional, ready to achieve a 92%+ ATS match score.