Textutor AI Platform

Led technical architecture for AI-powered essay correction and grading system at GoGymi

Description:

Led technical architecture for Textutor AI Platform at GoGymi - a comprehensive AI-powered essay correction and grading system revolutionizing language education. Built sophisticated GPT-4 integration with function calling for structured educational assessment, processing 1000+ student submissions daily with 99.9% uptime.

Project Duration:

2024 - 2025 (Technical Lead, Freelance)

Key Technical Achievements:

  • AI Integration Excellence: Built sophisticated GPT-4 integration with function calling for structured educational assessment
  • Multi-Language Processing: Implemented LanguageTool integration supporting English, German, Spanish, French, and Italian with cultural adaptations
  • Real-Time Collaboration: Architected Yjs-powered collaborative editing with live feedback, comments, and presence indicators
  • Database Architecture: Designed complex 16-table PostgreSQL schema with audit trails, versioning, and educational analytics
  • Performance Optimization: Achieved sub-10 second comprehensive essay analysis with 99.9% uptime
  • Hybrid Grading System: Implemented AI-human hybrid grading workflow for quality assurance

Technical Implementation:

  • AI/ML Stack: OpenAI GPT-4 with function calling, Google Gemini, Custom prompt engineering
  • Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS, Yjs for collaboration
  • Backend: Python FastAPI, PostgreSQL with Drizzle ORM, Redis for caching
  • Language Processing: LanguageTool API integration, Custom grammar rules, Multi-language support
  • Real-time Features: WebSocket connections, Presence tracking, Live cursor positions

Business Impact:

  • Scale: Platform processes 1000+ student submissions daily across 5 languages
  • Efficiency: Reduced grading time by 75% while maintaining quality standards
  • Accuracy: AI-powered suggestions with 95% acceptance rate by human reviewers
  • User Satisfaction: 4.8/5 rating from students and teachers

Technical Innovations:

  • Structured Assessment: GPT-4 function calling for consistent, rubric-based grading
  • Cultural Adaptation: Language-specific feedback patterns and educational conventions
  • Audit System: Complete history tracking for educational compliance
  • Collaborative Infrastructure: Real-time multi-user editing with conflict resolution

Skills Demonstrated:

Technical Leadership, AI/ML Integration, Database Design, Real-time Systems, Educational Technology, Multi-language Processing, System Architecture, Performance Optimization