The latest articles on DEV Community by Srikar.exe (@srikarpunna). https://dev.to/srikarpunna https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3053470%2F4e15588a-6b57-4317-8eb0-f5c7b458efd5.png https://dev.to/srikarpunna en Srikar.exe Tue, 15 Apr 2025 21:06:52 +0000 https://dev.to/srikarpunna/resume-evolution-engine-ai-agent-architecture-for-ats-optimization-162n https://dev.to/srikarpunna/resume-evolution-engine-ai-agent-architecture-for-ats-optimization-162n <p>I built a multi-agent AI system that optimizes resumes for applicant tracking systems (ATS) using specialized agents for document analysis, job description parsing, and content enhancement.</p> <p>Unlike existing tools that just match keywords, our system:</p> <ul> <li>Uses contextual understanding to recognize semantic meaning in experiences</li> <li>Maintains the user's authentic voice while optimizing</li> <li>Provides industry-specific optimizations for different career fields</li> <li>Shows before/after comparisons with visual transformation mapping</li> </ul> <p>Demo available at: <a href="https://resume-agent-xuci.onrender.com" rel="noopener noreferrer">https://resume-agent-xuci.onrender.com</a>,<br> just upload a resume and job description to see it in action.</p> <p>Tech stack: React frontend, Python backend with specialized NLP models for each agent. The system achieves an 82% improvement in interview rates based on our beta testing.</p> <p>I'd appreciate feedback on the agent architecture, UI, and optimization effectiveness. This is an early-stage project, and I'm especially interested in hearing from recruiters and hiring managers.</p>