JobFit AI - AI-Powered Recruitment Platform

Overview JobFit AI is a recruitment platform that matches candidates to jobs using skills, experience, and AI-driven fit scoring. I built the full backend using BuildShip to handle resume parsing, data flow, and AI matching between frontend, database, and LLMs. Technology Stack

Backend: Python, FastAPI, PostgreSQL

Frontend: React, Tailwind CSS

AI & ML: Buildship, OpenAI API, scikit-learn, NLP models for resume parsing and candidate matching

Cloud & Infrastructure: AWS (EC2, S3, Lambda), Docker, CI/CD with GitHub Actions

Analytics: Power BI & custom dashboard

Requirement Gathering: Worked with HR stakeholders to identify key hiring challenges and define structured candidate-job matching criteria.

Data Collection & Integration: Centralized resumes, job descriptions, and historical hiring data into a unified pipeline for processing.

AI Pipeline Development with BuildShip: Used BuildShip to design an automated workflow for resume ingestion, GPT-4o based parsing, and structured JSON generation of candidate profiles.

Matching & Scoring Logic: Implemented custom JavaScript nodes to compare candidate profiles with job data from PostgreSQL/Supabase and generate multi-dimensional fit scores.

Frontend & API Delivery: Exposed REST APIs from BuildShip to power recruiter dashboards showing real-time fit scores, skill gaps, and AI recommendations.

Testing & Iteration: Continuously tested workflow accuracy, optimized prompts, and refined scoring logic to improve match precision and system performance. Explanation JobFit AI uses BuildShip with GPT-4o to analyze resumes and job descriptions using NLP, generating accurate candidate fit scores and recommendations. Recruiters can quickly identify top candidates, view skill gaps, and make faster, data-driven hiring decisions. The system also improves matching accuracy by using contextual understanding instead of keyword-based filtering, helping surface stronger and often overlooked candidates through structured AI-driven evaluation. Results

45% faster resume screening

35% higher match accuracy

Faster deployment with instant workflow updates

Scalable processing for high-volume applications