AMIT KUMAR JANGIR
The "Problem Solver"
New to Contra
AMIT KUMAR is building their profile!
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 (http://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.
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Autonomous Employee Onboarding & Provisioning Agent
Technical Impact & Architecture:Intelligent Verification: An integrated LLM layer performs real-time semantic analysis on uploaded documents (I-9, W-4, NDAs) to verify signatures, legibility, and document type, achieving a 100% compliance rate.
Operational Scale: By automating the entire lifecycle—from secure folder creation to sequential "Welcome" communications—it reduces onboarding time from 10+ hours to less than 15 minutes per hire.
Strategic Value:
This agent doesn't just save time; it protects the company. By removing manual document handling, it eliminates human error in sensitive payroll and legal filings while providing a flawless, professional experience for every new employee.
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Developed an end-to-end autonomous agentic workflow designed to eliminate manual resume screening. The system retrieves, parses, and evaluates candidate applications against dynamic Job Descriptions (JDs) using high-fidelity LLMs, achieving an automated decision-making pipeline.
Key Technical Features.
Automated Decision Logic: Implemented autonomous status updates (Selected/Rejected) based on a custom-weighted scoring threshold of 70%.
The Results
90% Reduction in initial screening time.
Eliminated Human Bias by applying consistent evaluation criteria across 100% of the applicant pool.
High Scalability: Designed to process hundreds of resumes autonomously with zero manual intervention.
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Automating Onboarding Status and AI Risk Score Calculation 🤖
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