AI-Powered Recruitment Automation Platform

Link: https://marketplace.caiselcove.com/

Client: Caisel Cove Advisors

Duration: 5 months

Role: Tech Lead & Full Stack Developer

Objective: To create an AI-powered platform that automates the CV shortlisting process, aiming to improve scalability for recruitment firms. The platform includes features like automated CV parsing, a user-friendly job management system, a candidate scoring algorithm, and a reporting system.

Automated CV Parsing (MVP): Implement basic functionality for reading, parsing, and analyzing CVs using OpenAI.

Job Management Interface: Develop a simple, intuitive interface for job posting and candidate tracking.

Candidate Scoring (Prototype): Introduce an initial scoring system to rank candidates based on skill match and submission quality.

Efficiency Focus: Ensure the system can handle a moderate volume of submissions with room for scalability in future phases.

Basic Reporting: Provide essential metrics on candidate submissions and job post activity.

Next.js & Express: Combined for a full-stack application where Next.js handles the front-end and server-side rendering, while Express powers the API and backend logic.

PostgreSQL: Centralized database for storing job posts, candidate profiles, and user data.

OpenAI Integration: AI-powered parsing for analyzing CVs and extracting relevant skills, using OpenAI’s API.

AWS S3: For storing and managing user-uploaded images and documents.

Azure Hosting: The entire application is deployed on Azure for scalability and performance.

Challenge: Tight deadline — only two months to deliver a fully functional MVP.

Solution: Streamlined the process by assigning one engineer per task for maximum productivity. Implemented task templating to avoid repetitive work and accelerate the workflow.

Success: Efficient project management through Jira and Gantt charts ensured clear task ownership and progress tracking.

Impact: Regular stakeholder and developer meetings kept communication transparent and the project on schedule, ensuring all MVP features were delivered within the deadline.

I effectively utilized a modern tech stack, including Next.js for the frontend, Express.js for the backend, and PostgreSQL for database management. Leveraging OpenAI's capabilities, we integrated an intelligent system for sorting and ranking CVs, ensuring candidates receive tailored job matches.

Each phase of the project, from planning and design to development and testing, was meticulously executed, resulting in a robust solution that enhances the user experience and simplifies the hiring process. The collaboration and commitment of our team were instrumental in achieving this milestone, demonstrating our ability to deliver high-quality results under pressure.

Thank you for taking the time to review this case study. I look forward to the possibility of collaborating and contributing to future projects