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AI Massive Personalized Platform – Finances for Entrepreneurs
Date
December 2024
AI-Powered Learning Tools
Design and development of AI-driven educational tools, prototypes, and digital learning products. This category includes systems that integrate GPT-based tutoring, adaptive content delivery, RAG architecture, multi-agent orchestration, and modern web technologies to create intelligent, scalable learning solutions.
Learning Experience Strategist & Educational Architect
Designed the pedagogical architecture of the AI-powered microlearning platform, including learning objectives, instructional flow, and adaptive logic.
Defined how conversational AI agents should interact with learners, structure feedback, and guide users through financial concepts.
Created the full user journey and learning experience, including onboarding, content progression, and microlearning sequencing.
Developed the personalization model that determines how content adapts to each learner based on behavior, needs, and prior knowledge.
Collaborated with engineers to translate pedagogical requirements into system logic, agent reasoning patterns, and RAG-based retrieval workflows.
Authored and structured financial microlearning content aligned with adult learning principles and constructivist methodology.
Designed evaluation mechanisms to measure learner progress, knowledge acquisition, and skill development.
Ensured coherence between UX, instructional design, and AI architecture to create a seamless and engaging learning environment.
AI-Powered Learning Designer
Learning Experience Strategist and Educational Architect — led the ideation and pedagogical design of the AI-powered learning system, defining how intelligent agents should interact with users, deliver adaptive content, and integrate into a progressive web app (PWA) environment. Designed the user flow, learning logic, and personalization model that guided the development team.
Leap's Project Website
What I built: A financial literacy course for entrepreneurs, delivered through an adaptive web app MVP powered by AI conversational agents.
Tech used:
• LangChain (for multi-agent orchestration)
• FastAPI (real-time communication via WebSocket)
• RAG architecture (Retrieval-Augmented Generation)
• Chroma (vector database)
• OpenAI API (LLM services for reasoning and content generation)
• React + TypeScript (Ionic, Vite) (for the PWA front-end)
• Strapi CMS (for content and course structure management)
• PostgreSQL + MongoDB (databases for users, content, and learning analytics)
• Azure Web App + Docker (for cloud deployment)
Methodology: Agile Learning Design — combining Design Thinking and Constructivist principles to rapidly prototype and validate adaptive learning experiences with real users.
