Founder & Lead AI Architect | JEE AI
Architecting a high-performance, cross-platform AI ecosystem designed to optimize cognitive retention for competitive exam preparation.
Key Technical Achievements:
Performance Engineering: Engineered the entire platform using Flutter, optimized specifically for low-end hardware (Intel i3-7th Gen, 4GB RAM). Achieved fluid UI/UX by implementing strict state management and minimizing heap usage.
AI Orchestration: Developed a custom RAG (Retrieval-Augmented Generation) pipeline for the "Infopedia" neural archive, ensuring deterministic and context-aware responses for complex STEM subjects.
Multimodal Logic: Integrated "Council Live," a voice-first interface handling real-time step-wise problem solving with advanced ambiguity-detection logic.
Cognitive Science Integration: Built the "Zenith Mentor" engine based on the Ebbinghaus Forgetting Curve, automating active-recall triggers to maximize memory retention.
