Work/INTELLEA — Multi-Agent Adaptive Learning Platform
Final-year research project: an AI-powered adaptive learning platform built as four independently designed modules.
Adaptive learning needs to track what a student actually knows and respond to it, which means agent workflows that hold state across a session, stay grounded in real course material, and fail without taking the rest of the platform down.
Architected the platform as four independently designed modules, with modular agentic pipelines on a plugin-based architecture and production-oriented patterns: stateful orchestration, retrieval grounding, fault isolation. Personally built ATLAS, the platform intelligence unit — shared knowledge base, assignment-creation engine, and virtual tutoring component — combining Bayesian Knowledge Tracing with LangGraph-orchestrated agent workflows and Graph RAG over a Pinecone vector store. Backed the automated grading and document-ingestion pipelines with Apache Kafka for an event-driven architecture.
Designed and integrated the entire CI/CD, building Jenkins pipelines and owning full AWS deployment. Integrated OpenAI APIs, ElevenLabs TTS, and Firebase, with fallback handling for graceful degradation.
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AWS Resource Allocator