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Enhancing Prescreening with AWS AI Services for Candidate Tools

Client

Candidate Tools

Location

N/A

Industry

Technology, Information and Internet,

Services & Tech

AWS Bedrock , AWS S3 , AWS Lambda , AWS RDS

Project Overview

Candidate Tools, an industry leader in automating the prescreening process to deliver top 2% talent, aimed to enhance its data science models for prescreening candidate resumes. By leveraging AWS AI services, Candidate Tools sought to improve the efficiency and scalability of extracting relevant information from resumes and other document sources. Avahi, an advanced tier AWS partner, was engaged to implement a GenAi solution using AWS services such as SageMaker, Bedrock, S3, RDS, Lambda, and API Gateway.

The
Problem

Candidate Tools faced several challenges in their existing prescreening process:

  • Extraction of relevant information from a large volume of resumes.
  • Building an infrastructure capable of handling real-time data and growing user demands.
  • Ensuring the accuracy of candidate selection to consistently identify the top 2% talent.
  • Integrating the AI models with existing systems and data sources.

Solution

Avahi proposed a comprehensive solution to address these challenges, focusing on developing a robust, scalable AI-powered prescreening system. The project was executed in phases, starting with a proof of concept (POC) and advancing to a fully integrated solution.

Key Deliverables

  • Basic POC: Development of a smart recommendation assistant for generic product recommendations and customer queries.
  • Advanced Features: Enhancements to the AI-powered assistant for personalized product recommendations based on Candidate Tools’ catalog and user interests.
  • ETL Processes: Performing ETL on raw data to prepare it for model training and storage in Amazon S3.
  • Post-Processing Jobs: Running post-processing jobs for model output based on confidence thresholds.
  • Validation: Ensuring accuracy, bias mitigation, and scalability using industry standard tools.
  • Qualitative Review: An analysis report based on manual review to identify common issues.
Explore Our Services

We highly recommend Avahi as a reliable and innovative technology partner. Their expertise in cutting-edge technologies was instrumental in building our Proof of Concept (PoC) and developing our Minimum Viable Product (MVP). Avahi consistently delivered high-quality solutions on time while maintaining a collaborative, responsive approach. They went beyond expectations by identifying opportunities for enhancement, ensuring scalability and compliance for our law enforcement-focused products. Avahi is the clear choice if you need a tech partner with industry knowledge, professionalism, and a commitment to innovation.

Brandon Puhlman

Founder, Bravo Foxtrot

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