Loading portfolio experience
Loading portfolio experience
Business Operations, Education · AI Agent, Web App, SaaS
An AI-powered recruitment MVP that analyzes multiple resumes against configurable job requirements, ranks candidates, generates structured insights, and lets recruiters query the complete candidate pool through an intelligent chatbot.
Recruiters were spending significant time opening resumes individually, searching for specific skills, comparing candidates manually, and recording findings in spreadsheets. Different recruiters often evaluated candidates differently, and strong applicants could be overlooked when job requirements were complex or when the number of applications was high.
As the Lead AI Engineer, Full-Stack Developer, and Solution Architect, I designed and developed an end-to-end recruitment MVP that accepts multiple PDF and DOCX resumes and converts them into structured candidate profiles. Recruiters can create a job role, provide the job description, define required skills, experience levels, qualifications, preferred attributes, and custom scoring criteria. AI agents analyze each resume, calculate a candidate score, identify strengths and gaps, and present the results in a searchable comparison table. A retrieval-augmented chatbot allows recruiters to ask natural-language questions across the complete candidate pool and returns contextual answers supported by information extracted directly from the resumes.