Sage Rimal
Entrepreneur & AI Innovator
Specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), optimized performance architectures, rapid content generation systems, Text-to-Speech (TTS), and real-time audio processing. Building the next generation of intelligent systems that transform how we work, learn, and innovate through cutting-edge AI technologies.
rimalsage@gmail.comMy Projects
IdeaRoom.ai
AI-powered innovation platform for creative collaboration
Built with Next.js and powered by OpenAI's LLMs, this platform leverages advanced prompt engineering and RAG architecture to facilitate creative brainstorming. Features performance-optimized real-time collaboration through WebSocket connections, rapid content generation pipelines with sub-second response times, scalable PostgreSQL database design with intelligent caching, and integrated multi-channel communication via Twilio and SendGrid APIs.
RapidLearning.ai
Accelerated learning through artificial intelligence
Multi-LLM architecture combining OpenAI, Anthropic, and Gemini models for personalized learning experiences. Implements sophisticated RAG pipelines with vector embeddings, AWS Lambda serverless functions for scalable content processing, Redis caching for sub-100ms response optimization, and high-performance rapid content generation. Features AI-generated audio content via AWS Polly TTS with real-time streaming capabilities and multi-modal learning experiences.
AI Closing Pro
AI-aided real estate transaction coordinator platform
Enterprise-grade real estate platform built with Remix for optimal performance and developer experience. Integrates custom-trained LLMs for rapid document analysis and transaction workflow automation with performance-optimized processing pipelines. Features TypeScript for type safety, PostgreSQL with query optimization for complex relational data, and intelligent document processing with real-time content generation that streamlines closing procedures.
Inspire with AI
AI-powered human performance optimization platform
Comprehensive AI platform combining machine learning with human psychology. Built with Python and Streamlit for rapid prototyping, leveraging PyTorch for custom model development and Pinecone for high-performance vector database operations. Features containerized deployment with Docker, infrastructure automation via Ansible, sophisticated RAG implementation for personalized coaching recommendations, optimized content generation pipelines, and integrated TTS capabilities for multi-modal user experiences.
Technical Expertise
Large Language Models
Advanced prompt engineering, fine-tuning, and multi-model orchestration across OpenAI, Anthropic, and Google's Gemini platforms with optimized inference pipelines.
RAG & Performance
High-performance retrieval-augmented generation systems with vector embeddings, semantic search, intelligent context management, and sub-100ms response optimization.
Content Generation
Rapid content generation systems with intelligent caching, parallel processing, and real-time streaming for instant user experiences across multiple modalities.
Audio & TTS
Real-time audio processing, advanced Text-to-Speech integration, streaming audio generation, and multi-modal AI experiences with optimized latency.