Core Competencies: Agentic AI Systems | RAG Architecture | Model Fine-Tuning | Real-Time AI Applications | LLM Orchestration
Built an experimental agent on Hermes, running qwen3.6:35b-a3b locally on an AMD machine with 64GB RAM. All workflow orchestration and domain expertise are modularized into dedicated skills.
Demo: https://x.com/shawn810720/status/2060224726900121767
Architected an intelligent routing system for product consulting.
Intent classification: Fine-tuned Gemma3:270m for semantic intent routing
Model pipeline: Multi-model Ollama setup (Gemma3:4b, Nomic-Embed-Text v1.5)
Retrieval: Advanced RAG with Small-to-Big retrieval and reranking
Knowledge store: Qdrant vector database for product knowledge
Interface: Real-time SSE streaming UI
Tech stack: LangGraph, LlamaIndex, Flask
Demo: https://x.com/shawn810720/status/1975782475910816049
Production-grade product Q&A platform using Llama 3 and DeepSeek R1 for accurate information retrieval.
Demo: https://x.com/shawn810720/status/1910602758933405908
Live multimodal processing pipeline powered by Llama 3.2-Vision.
Demo: https://x.com/shawn810720/status/1897959157166428644
Engineered a reasoning framework that gives Llama 3 8B System 2 thinking capabilities through structured workflow optimization.