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ZeroBias

Autonomous Evaluation Platform

ReactTypeScriptPythonFastAPIPostgreSQLOpenAI GPT-5AWS

Overview

Founded and built ZeroBias - an autonomous evaluation platform that bypasses the first-round bottleneck and transforms how companies hire by eliminating bias and automating the interview process. The platform uses advanced AI to conduct intelligent interviews, assess candidates objectively, and provide data-driven hiring recommendations.

The Challenge

Traditional hiring processes are time-consuming, expensive, and often biased. Companies struggle with:

  • Manual screening of hundreds of resumes
  • Inconsistent interview experiences across candidates
  • Unconscious bias affecting hiring decisions
  • Lack of data-driven insights in recruitment

The Solution

Three Specialized AI Interviewers

  • Noddy: Handles initial screening and background verification
  • Cora: Conducts technical assessments with adaptive questioning
  • Aris: Evaluates behavioral traits and cultural fit

Key Features

  • Intelligent Resume Analysis: AI-powered parsing and job matching
  • Real-time Interview Proctoring: Computer vision for integrity monitoring
  • Adaptive Questioning: Dynamic questions based on responses
  • Speech Integration: Azure Cognitive Services for natural voice interactions
  • Skill Certifications: Multi-level assessment and certification system
  • Comprehensive Analytics: Data-driven candidate insights
  • Multi-tenant Architecture: Enterprise-ready SaaS platform

Technical Implementation

Frontend

  • React 18 with TypeScript for type-safe development
  • Vite for optimized build performance
  • Tailwind CSS for responsive design
  • WebSocket integration for real-time features

Backend

  • FastAPI for high-performance async APIs
  • PostgreSQL with optimized database queries
  • JWT authentication with role-based access
  • AWS infrastructure for scalability

AI Integration

  • OpenAI GPT-5 for natural language processing
  • Custom prompt engineering for specialized behaviors
  • Real-time response streaming
  • Context-aware conversation management

Results & Impact

4x

Faster candidate screening

300ms

Average API response time

30min

Average interview duration

70%

Cost reduction per hire

Key Learnings

  • AI Optimization: Implemented caching and prompt optimization to reduce API costs significantly
  • Scalability: Designed microservices architecture to handle enterprise load
  • User Experience: Iterative feedback led to intuitive interface improvements
  • Security: Implemented GDPR compliance and enterprise-grade security

Technologies Used

React 18TypeScriptPythonFastAPIPostgreSQLRedisOpenAI APIClaude 4.5TensorFlow.jsAzure Speech SDKAWS EC2AWS S3DockerGitHub ActionsWebSockets