Kuok Xuen Tan

Machine Learning Engineer

Malaysia

About

I work on machine learning systems, data pipelines, and cloud infrastructure. My background spans NLP research, quantitative development, and building production ML applications.

I completed my MPhil in Artificial Intelligence at Monash University, where my thesis focused on applying knowledge graphs and machine learning to NLP problems in support systems.

Experience

Navigator

Machine Learning Engineer

Mar 2024 - Nov 2025
  • Built data pipelines for ingesting and processing external data sources
  • Managed AWS infrastructure including ECS, Lambda, RDS, and S3
  • Developed FastAPI backend services integrated with OpenAI LLMs
  • Deployed TypeScript frontend with Cognito-based authentication
  • Set up CI/CD pipelines with GitHub Actions

Intel Corporation

Machine Learning Engineer

Mar 2021 - Mar 2024
  • Developed a multilingual recommendation system serving factories across 4+ countries
  • Improved internal search engines using transformer-based semantic search
  • Collaborated with Intel Labs on language model research
  • Trained HuggingFace transformer models for text classification
  • Built semantic similarity pipelines for manufacturing data validation
  • Developed knowledge graph frameworks for visualization and triple extraction

Crosslight Capital

Quantitative Developer

Apr 2018 - Mar 2021
  • Developed and backtested quantitative trading strategies in C#
  • Optimized strategies using genetic algorithms
  • Built trade analysis dashboards using Plotly Dash
  • Designed middle-office systems for automated trade submission
  • Created financial data pipelines for market data collection

Configura

Application Developer

Sep 2017 - Apr 2018
  • Worked with a proprietary object-oriented language
  • Participated in Agile Scrum development in an international team

Education

Monash University

2021 - 2023

Master of Philosophy - Artificial Intelligence

Thesis: Natural Language Processing in Support Systems - Applications of Knowledge Graph and Machine Learning

Monash University

2014 - 2017

Bachelor of Computer Science

Courses

  • Natural Language Processing Nanodegree - Udacity
  • Building Cloud Computing Solutions at Scale - Coursera

Projects

Dive Log Explorer

View

A web app to explore my personal dive logs with AI-powered insights. Built to visualize dive data and surface interesting patterns from underwater adventures.

Skills

Languages

Python C# SQL TypeScript

ML & Data

PyTorch HuggingFace MLFlow OpenAI

Infrastructure

AWS Docker GitHub Actions MongoDB

Tools

Git VSCode Plotly Dash

Beyond Work

PADI Divemaster. I also train Brazilian Jiu-Jitsu.

Contact