Khang Le Hoang

AI Engineer | Prompt Engineering & RAG | LLM APIs, LangChain, Pydantic | Edge AI & Computer Vision

Ho Chi Minh City, Vietnam

About

Fresh graduate (B.Eng. Automation & Control Engineering Technology, HCMUTE) with hands-on experience in Prompt Engineering, RAG pipeline development, and LLM application design. Most recent project: Built an Advanced RAG Knowledge Assistant with 4 specialized prompts (semantic chunking, query rewriting, LLM re-ranking, answer generation), each designed with tailored prompt patterns and per-task temperature tuning. Benchmarked with 150 test questions — achieved MRR 0.929, Accuracy 4.79/5, a +24.8% improvement over a LangChain baseline through evaluation-driven iteration. Key skills: prompt design (system/role, structured JSON output, context grounding), RAG pipelines, OpenAI/OpenRouter APIs, LangChain, ChromaDB, Pydantic structured outputs, cost-aware model selection, and evaluation-driven development. Also experienced in Edge AI and Computer Vision: led a graduation thesis on real-time forest fire & smoke detection on UAV using YOLOv11 + TensorRT FP16 on Jetson Nano (10+ FPS), with MAVLink integration and Telegram alerts. I enjoy designing AI systems where every decision — from prompt patterns to model selection — is driven by measurable quality metrics rather than intuition. GitHub: https://github.com/khangle2101

Experience

  • Automation Intern at MINH TAM Automation Technical Service Co., Ltd
    Jun 2024 - Sep 2024 · 4 mos

    • Assembled and wired an Automatic Brush Handle Alignment Machine for production • Connected valves, sensors, buttons, indicator lights at key control points • Supported PLC programming and commissioning under senior engineer supervision