A conversational AI SaaS platform that automates candidate interviews using multi-agent LLMs and speech recognition, delivering unbiased, data-backed evaluations.
Product Development & Roadmapping
AI Integration
Cross-functional Leadership
My Role
Head of Products
Project Duration
5 months
Problem Statement
Recruiters were spending excessive time on repetitive screening calls, creating delays in hiring pipelines. Human-led evaluations introduced inconsistencies and unconscious bias, while candidate quality often varied due to lack of structured assessment. Companies needed a scalable solution to improve fairness, efficiency, and decision accuracy.
Solution
Built and launched a 0→1 AI Interviewer platform with integrated LLMs, adaptive prompt engineering, and Azure Speech Services for natural, human-like interactions.
Enabled real-time analysis of resumes, job descriptions, and candidate responses to generate structured, decision-ready insights.
Designed an autonomous workflow for unbiased, scalable interviews, reducing recruiter effort while improving candidate experience.
Result
Improved candidate quality by 60%
Cut hiring time & cost by 42%
Reduced hiring bias by 55%
Boosted recruiter decision-making efficiency by 40%
Takeaway
AI can minimize hiring bias when paired with human oversight.
Automation accelerates hiring without compromising candidate quality.
Success required iterative fine-tuning with HR teams to balance AI outcomes with real-world recruiter needs.
Feel free to reach out if you have any comments or thoughts.
