I am an AI and Full-Stack Engineer who specializes in turning business concepts into real, practical AI solutions and automated workflows. I work comfortably across both backend and frontend systems using Python, TypeScript, SQL, and modern web frameworks to build complete, end-to-end applications. Recently, I built a conversational AI agent from scratch using LangGraph and Python that acts as a company-wide copilot. I designed it specifically so that anyone—from ground operations staff to C-level executives—can query live database systems and trigger multi-step tasks using plain natural language. What I bring to your project: - Full-Stack AI Deployment: Experience building both the AI core (agent logic, tool calling, RAG pipelines) and the application surfaces (APIs, databases, frontends) so your tool is completely production-ready. - Built for Users: I know how to translate complex technical backend logic into clean, intuitive interfaces that non-technical founders and users love to use. - Fast Execution: I thrive in remote, fast-paced setups where I can work independently, solve ambiguous logic bottlenecks, and ship working features fast. I hold a First Class Honours degree in Data Science (4.00 CGPA) and look forward to helping you take your product vision from blueprint to a live, scalable reality.

Inn Keat Ng

I am an AI and Full-Stack Engineer who specializes in turning business concepts into real, practical AI solutions and automated workflows. I work comfortably across both backend and frontend systems using Python, TypeScript, SQL, and modern web frameworks to build complete, end-to-end applications. Recently, I built a conversational AI agent from scratch using LangGraph and Python that acts as a company-wide copilot. I designed it specifically so that anyone—from ground operations staff to C-level executives—can query live database systems and trigger multi-step tasks using plain natural language. What I bring to your project: - Full-Stack AI Deployment: Experience building both the AI core (agent logic, tool calling, RAG pipelines) and the application surfaces (APIs, databases, frontends) so your tool is completely production-ready. - Built for Users: I know how to translate complex technical backend logic into clean, intuitive interfaces that non-technical founders and users love to use. - Fast Execution: I thrive in remote, fast-paced setups where I can work independently, solve ambiguous logic bottlenecks, and ship working features fast. I hold a First Class Honours degree in Data Science (4.00 CGPA) and look forward to helping you take your product vision from blueprint to a live, scalable reality.

Available to hire

I am an AI and Full-Stack Engineer who specializes in turning business concepts into real, practical AI solutions and automated workflows. I work comfortably across both backend and frontend systems using Python, TypeScript, SQL, and modern web frameworks to build complete, end-to-end applications.

Recently, I built a conversational AI agent from scratch using LangGraph and Python that acts as a company-wide copilot. I designed it specifically so that anyone—from ground operations staff to C-level executives—can query live database systems and trigger multi-step tasks using plain natural language.

What I bring to your project:

  • Full-Stack AI Deployment: Experience building both the AI core (agent logic, tool calling, RAG pipelines) and the application surfaces (APIs, databases, frontends) so your tool is completely production-ready.
  • Built for Users: I know how to translate complex technical backend logic into clean, intuitive interfaces that non-technical founders and users love to use.
  • Fast Execution: I thrive in remote, fast-paced setups where I can work independently, solve ambiguous logic bottlenecks, and ship working features fast.

I hold a First Class Honours degree in Data Science (4.00 CGPA) and look forward to helping you take your product vision from blueprint to a live, scalable reality.

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Language

Chinese
Intermediate
English
Fluent
Malay
Advanced

Work Experience

AI & Data Science Engineer at BeLive Ventures Sdn Bhd
December 1, 2025 - Present
Architected a full-stack operations module with backend APIs, data models, and frontend integration; enabled end-to-end ticket CRUD with triage across clusters; integrated Lark two-way sync and live SLA dashboards; built an enterprise AI agent (Claude Code-style) as a company-wide copilot enabling staff from ground ops to C-level to query live data, trigger operational actions, and automate multi-step workflows in natural language. Architected subagents, tools, reusable skills, in-graph summarization, short/long-term memory, human-in-the-loop approvals, and full token/cost observability. Built an LLM-powered knowledge wiki with a RAG pipeline to automate ingestion and lint/fix agents that compile raw documents into a curated, cross-reference, organization-wide knowledge base. Engineered end-to-end AI workflows using n8n and Lark, driving a 100% increase in operational efficiency and clearing a critical backlog of long- overdue operational tickets.
AI Engineer Intern at BeLive Ventures Sdn Bhd
June 1, 2025 - December 1, 2025
Spearheaded the development and deployment of a Small Language Model (SLM) for customer support; revamped backend architecture to support AI-driven FAQ management; iterated full deployment from frontend integration through staging validation; established model governance with versioning and automated validation.
Office Staff at Pet Lovers Centre Malaysia
May 1, 2021 - August 1, 2021
Optimized accounting workflows and invoice processing, improving data entry efficiency by 50% and ensuring accurate financial record-keeping.

Education

Bachelor of Computer Science in Data Science at Tunku Abdul Rahman University of Management & Technology (TARUMT), Setapak, Kuala Lumpur
November 1, 2022 - December 1, 2025

Qualifications

President's List
January 11, 2030 - June 30, 2026
World Vocational College Skills Competition 2024 - Bronze
January 1, 2024 - January 1, 2024
Swiss Innovation Challenge Malaysia 2025
January 1, 2025 - June 30, 2026
Nanning I&E Competition 2025 (Malaysia Preliminary)
January 1, 2025 - January 1, 2025

Industry Experience

Software & Internet, Professional Services, Media & Entertainment

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