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Final Project Submission - Scalable Resume Parsing & Ranking System with AWS

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@adarsh1477 adarsh1477 released this 13 May 20:23
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We’re excited to release the first version of the AWS Serverless Intelligent Resume Ranking System built as part of the NYU Cloud Computing & Big Data Systems course.

🚀 What's in this release?
Fully serverless microservices architecture using AWS Lambda, API Gateway, S3, DynamoDB, and OpenSearch

Resume parsing via Amazon Textract

Job description entity analysis via Amazon Comprehend

Intelligent resume ranking powered by Bedrock Titan LLM

Secure resume upload & retrieval using pre-signed URLs

Scalable design tested with 150+ resumes per ranking session

Modular Lambda microservices for easy maintenance & upgrades

💡 Key Features
Automated resume parsing & job description analysis

AI-powered candidate-to-job ranking

Search & retrieval of top candidates with filters

Clean microservices separation with event-driven triggers

Secure & durable storage of candidate data

📋 What's next?
Support for 1000+ resumes via parallel Lambda batch execution

LLM-based parsing for messy/unstructured resume formats

Enterprise-level batch APIs and role-based access controls

Multi-language support for global recruitment scenarios