Pl. A · Advantech AIoT InnoWorks 2022
1st Prize — 40,000,000 VND
Recognized for a smartwatch-based AIoT system that monitors heart rate and detects falls to give an early warning of stroke.
- AIoT
- Wearables
- Competition
Lê Ngọc Gia Huy Le Ngoc Gia Huy — AI Engineer · Intel
AI Engineer at Intel · since Nov 2025
Building intelligent systems with product-grade precision.
I build agentic AI systems — LLM agents that plan, call tools, and act across multi-step workflows — plus RAG applications, robotic inspection, computer vision, and AIoT, moving each one from prototype to dependable, production-minded execution.
- Agentic AI
- RAG systems
- Robotic vision
- AIoT
02Background
Calm engineering for ambitious AI products.
I care about the full path from model behavior to interfaces, infrastructure, evaluation, and user trust — designing systems reliable enough for real users, not just demos.
AI systems
RAG pipelines, prompt design, embeddings, vector databases, reranking, evaluation loops, and OpenAI model integration.
Vision & robotics
Computer vision, inspection workflows, robotic simulation, kinematics, ROS, Gazebo, and sensor-driven automation.
Founder execution
Co-founder at Code4life® — technical delivery, product thinking, community building, and practical AI education.
Proof & recognition
Pl. B · HCMUTE · Robotics and AI
Top Graduation Project Score
Awarded the highest graduation project score in the Robotics and AI program for semester 2 of 2024–2025.
- Graduation project
- Robotics & AI
- Academic
03Selected work
Systems across language, vision, robotics, and automation.
Shaped from real engineering experience — each exhibit is drawn live from what the system actually does.
LLM agents & orchestration
Currently building
Agentic AI Systems
Autonomous LLM agents that plan, call tools, and act across multi-step workflows — built with orchestration graphs, memory, guardrails, and evaluation loops so agent behavior stays reliable enough for production, not just demos.
- LangGraph
- Tool-calling
- Planning
- Multi-agent
- MCP
Agentic RAG & retrieval
Agentic Document QA
A LangGraph-orchestrated agent that plans retrieval, calls search and reranking tools, and adapts across multi-step queries — over document ingestion, semantic chunking, Qdrant vector search, Supabase metadata, and OpenAI models.
- LangGraph
- Tool-calling
- Qdrant
- OpenAI API
Computer vision & robotics
AI-Based Robotic Arm Inspection
An inspection workflow combining PyTorch and TensorFlow models, OpenCV, RobotStudio simulation, MATLAB/Simulink kinematics, Inventor assembly, and real-time C# socket communication.
- PyTorch
- OpenCV
- RobotStudio
- C#
Reinforcement learning & ROS
Autonomous 3-Wheeled Vehicle
An autonomous navigation prototype built with LIDAR, Gazebo simulation, ROS, reinforcement learning, and path-planning workflows.
- ROS
- Gazebo
- LIDAR
- RL
AIoT & wearable health
Smartwatch Stroke Early-Warning
An AIoT system built around a smartwatch: it tracks heart rate, detects falls, and raises an early warning when the signals point to a possible stroke — first prize at Advantech AIoT InnoWorks 2022.
- AIoT
- Wearables
- Heart rate
- Fall detection
04Agent Lab
Watch an agent think.
A hands-on replay of the agentic loop I build in production — planning, tool calls, observations, self-critique. Pick a task and run it. Scripted traces, zero API calls, everything in your browser.
01 · Pick a task
Scripted replay of real agent traces — no model calls, no data leaves this page. The production versions run on LangGraph with guardrails and trajectory-level evals.
$ task: What does our leave policy say about carrying unused days into next year?
// agent runtime ready — LangGraph-style loop
// tools registered: vector_search · rerank · web_search · notify
// pick a task, then ▸ Run
idleagent.trace
Robotics & AI, HCMUTE
Where the engineering started.
05Experience
From robotics research to applied AI engineering.
- Nov 2025 — presentNow
AI EngineerIntel
Applied AI engineering, automation, and intelligent systems in a production-minded environment.
- 2025 — present
Co-founderCode4life®
Building learning and technology initiatives around practical coding, AI literacy, and software craft.
- Aug 2024 — Feb 2025
AI / RAG EngineerRegenX
Built a document question-answering system using RAG, Qdrant vector search, Supabase metadata, semantic chunking, reranking, and OpenAI models for internal company documents.
- Jan 2024 — Jul 2024
AI Robotics InternABB Robotics
Developed an AI-based robotic arm inspection workflow with Autodesk Inventor, MATLAB/Simulink, PyTorch, TensorFlow, OpenCV, RobotStudio, and real-time C# socket communication.
- 2024 — 2025
Robotics & AIHCMUTE
Graduation-level work recognized with the highest project score in the major for semester 2 of 2024–2025.
06Toolkit
The stack behind the work.
Practical depth across the AI lifecycle — from model behavior to edge deployment, laid out like the floorplan of a chip.
01AI engineering
- RAG pipelines
- LangGraph
- Prompt design
- Embeddings
- Vector DBs
- Reranking
- Eval loops
- OpenAI API
02Vision & robotics
- PyTorch
- TensorFlow
- OpenCV
- ROS
- Gazebo
- RobotStudio
- Kinematics
03Data & infra
- Qdrant
- Supabase
- Python
- C#
- MATLAB/Simulink
- Socket I/O
04Edge & AIoT
- TFLite
- TFLite Micro
- OpenVINO
- ONNX Runtime
- Wise-PaaS
- Sensors
MATLAB/SimulinkFrequently asked
Who is Lê Ngọc Gia Huy?
Lê Ngọc Gia Huy (English form: Le Ngoc Gia Huy) is an AI Engineer at Intel and co-founder of Code4life®, based in Ho Chi Minh City, Vietnam. He specializes in agentic AI systems, retrieval-augmented generation, computer vision, robotics, and AIoT.
What does Le Ngoc Gia Huy specialize in?
His core focus is agentic AI — LLM agents that plan, call tools, and act across multi-step workflows, built with LangGraph orchestration, Model Context Protocol (MCP), guardrails, and evaluation loops. That sits on top of RAG engineering (Qdrant vector search, semantic chunking, reranking) and a robotics background spanning PyTorch, OpenCV, ROS, and robotic simulation.
What recognition has Lê Ngọc Gia Huy received?
He won 1st Prize at Advantech AIoT InnoWorks 2022 (40,000,000 VND) for a smartwatch-based system that tracks heart rate and detects falls to warn of stroke early, and earned the highest graduation project score in the Robotics & AI program at HCMUTE for semester 2 of 2024–2025.
How can I contact Lê Ngọc Gia Huy?
Through LinkedIn (in/lengocgiahuy1810), GitHub (@breslee1707), or TikTok (@huyg.ai) — all linked in the contact section of this portfolio.