AI ENGINEER · RESEARCHER · BUILDER

Stay curious.Build trustworthy AI.

I build verifiable AI systems—from data platforms to agents in production—while keeping evidence, permissions and human judgment in the loop.

01Device key

AI Chat

Synchronize text, images and video from ChatGPT and Gemini into an independent viewing room.

Open AI Chat
02Access code

Interview Agent

Ask grounded questions about projects, technical decisions, research experience and engineering methods.

Talk to the agent
03Public

Research Profile

Review my AI engineering direction, research interests, technical range and delivery principles.

Explore my profile
04Restricted

Private Archive

A private, separately authenticated space for selected visitors, governed by least privilege.

Open restricted entry
About / Profile

Research prototypes should become systems people can run, verify and maintain.

I am Alex Liao, an AI engineer and technical consultant working across data platforms, LLM applications, machine learning, research prototypes and robotics simulation.

My engineering practice emphasizes data quality, traceability, human review, failure recovery, reproducible deployment and end-to-end delivery. The systems shown here explain not only which models they use, but how they are constrained, verified and recovered when something fails.

MSc Data ScienceUniversiti Teknologi MalaysiaBEng Computer Science and Technology
Core expertise

From models to dependable workflows

  1. 01LLM / RAG / Agents
  2. 02Data Platforms
  3. 03Graph Learning
  4. 04Edge AI
  5. 05Computer Vision
  6. 06Robotics Simulation
01

Evidence first

Claims remain connected to traceable material, with uncertainty stated when evidence runs out.

02

Permission aware

Identity, topic, depth and validity determine what each system may disclose.

03

Human in the loop

Automation provides scale and speed while people retain consequential judgment.