AMIT KUMAR JANGIR - Data Analyst | Contra
Work by AMIT KUMAR JANGIR
Sign Up
Post a job
Sign Up
Log In
AMIT KUMAR JANGIR
The "Problem Solver"
Message
Follow
Ready for work
AMIT KUMAR is ready for their next project!
Bengaluru, India
Work
Posts
About
Bengaluru, India
0
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.
0
36
3
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.
1
3
136
0
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.
0
51
0
Automating Onboarding Status and AI Risk Score Calculation 🤖
0
5