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45 changes: 31 additions & 14 deletions _data/cv.yml
Original file line number Diff line number Diff line change
Expand Up @@ -4,11 +4,11 @@
- name: "Name:"
value: Gary Goh Shing Wee
- name: "Experience:"
value: "<b>3 years academic</b> experience in machine learning and predictive modeling + <b>1 year industrial</b> experience in building a complex recommendation system for an online video live-streaming and community platform"
value: "<b>8+ years</b> across GenAI, machine learning, and data platform engineering &mdash; spanning the full data function: data engineering, analytics, data science, and MLOps deployment"
- name: "Interest:"
value: Data-driven Artificial Intelligence applications
value: Data-driven and agentic AI applications; data &amp; AI governance
- name: "Proficiency:"
value: Large-scale data processing using <b>Hadoop</b> and <b>Spark SQL</b> and training deep neural networks with deep learning frameworks such as <b>TensorFlow</b> and <b>PyTorch</b>
value: Architecting governed data warehouses on <b>Databricks</b> with CDC streaming via <b>AWS DMS</b>, and shipping <b>LLM / agentic systems</b> to production (built with <b>TensorFlow</b> and <b>PyTorch</b>)
- name: "<i class='fas fa-envelope'></i> :"
value: <a href="mailto:[email protected]"><code>[email protected]</code></a>
- name: "<i class='fab fa-linkedin-in'></i> :"
Expand All @@ -17,6 +17,19 @@
- title: Work Experience
type: table
contents:
- title: Data Scientist
subtitle: "<i><a href='https://www.whitecoat.global'>WhiteCoat</a></i> &mdash; SEA digital health platform (SG/MY/PH/HK/ID)"
year: 2024-Present
start_date: May 2024
end_date: Present
location: Singapore
description:
- Work across the full data function end to end &mdash; data engineering, analytics, data science, and AI transformation &mdash; supporting management decision-making and fundraising
- Architected <b>Data Warehouse 2.0</b> on <a href="https://www.databricks.com"><b>Databricks</b></a>, migrating to a governed native catalog with CDC streaming via <b>AWS DMS</b> and cutting data-platform costs by ~80%
- Designed a company-wide AI operating model &mdash; a git-based knowledge base plus a governed <b>MCP</b> layer connecting AI agents to live company data (Databricks, Jira, GitHub, Drive, Gmail, Mixpanel) &mdash; and rolled out Claude and GPT/Codex org-wide with read-only and PII-ringfencing guardrails
- Built a self-healing LLM pipeline that auto-classifies Databricks job failures, self-repairs or opens PRs, and closes Jira tickets, eliminating manual triage
- Deployed predictive models, including quantile-regression doctor-demand forecasting, an AI Fraud/Waste/Abuse detection engine across 14 risk categories, and B2B corporate segmentation
- Data lead for the Series C fundraise data room; delivered self-serve natural-language analytics via <a href="https://www.databricks.com/product/ai-bi/genie"><b>Databricks Genie</b></a> and an MCP-connected agent
- title: Data Scientist
subtitle: "<i><a href='https://www.sea.com/home'>Sea Ltd</a> &mdash; <a href='https://www.garena.sg'>Garena</a></i>"
year: 2021-2022
Expand Down Expand Up @@ -97,20 +110,24 @@
contents:
- name: "<i class='fab fa-github'></i><b> GitHub</b>:"
value: "<a href='https://github.com/garygsw'><code>https://github.com/garygsw</code></a>"
- name: "<b>GenAI / ML</b>:"
value: LangChain, LangGraph, MCP, RAG, agents, Claude Code, TensorFlow, PyTorch, scikit-learn, MLflow
- name: "<b>Data &amp; Platform</b>:"
value: Databricks, Apache Spark/Hive/Hadoop, AWS DMS (CDC), Unity Catalog, ETL pipeline design
- name: "<b>Governance</b>:"
value: AI &amp; data governance, Unity Catalog access control, PII ringfencing, read-only guardrails
- name: "<b>Programming languages</b>:"
value: Python, C/C++/C#, Javascript, Java, Microsoft VBA, R
- name: "<b>Operating systems</b>:"
value: Mac OS, Windows, Ubuntu, Raspberry Pi OS, Linux Mint
value: Python, SQL, Bash, Javascript, C/C++/C#, R, VBA
- name: "<b>Cloud</b>:"
value: AWS (S3, EC2, Lambda, SageMaker, Bedrock, AgentCore), GCP (GCS, Vertex AI)
- name: "<b>Python libraries</b>:"
value: PyTorch, NumPy, Pandas, SciPy, Keras, Theano, scikit-learn, SpaCy, Django, ...
- name: "<b>Frameworks</b>:"
value: Jupyter, Qt, AWS, Miscrosoft .NET 4.5, Cordova
value: PyTorch, NumPy, Pandas, SciPy, Keras, scikit-learn, SpaCy, Django, ...
- name: "<b>Database systems</b>:"
value: MySQL, PostgreSQL, SQLite, MongoDB
- name: "<b>Client-side technologies</b>:"
value: HTML5, CSS3, JQuery, D3.js, AngularJS
- name: "<b>Other software</b>:"
value: Automod, AIMMS, Adobe Photoshop and Illustrator
value: MySQL, PostgreSQL, MSSQL, MongoDB, Databricks
- name: "<b>Visualization</b>:"
value: Grafana, Superset, Metabase, Lakeview, Power BI, Tableau, Matplotlib, D3.js
- name: "<b>Operating systems</b>:"
value: Mac OS, Windows, Ubuntu, Raspberry Pi OS, Linux Mint

- title: Others
type: list
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7 changes: 7 additions & 0 deletions _news/announce_whitecoat.md
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@@ -0,0 +1,7 @@
---
layout: post
date: 2024-05-01 00:00:00+0800
inline: true
---

I joined [WhiteCoat](https://www.whitecoat.global) as a Data Scientist, working across the full data function — from data-platform engineering to company-wide AI transformation!
9 changes: 5 additions & 4 deletions _pages/about.md
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Expand Up @@ -3,23 +3,24 @@ layout: about
title: about
nav-title: about
permalink: /
description: Data Scientist • <a href="https://www.garena.sg">Garena</a> • <a href="https://www.sea.com/home">Sea</a>
description: Data Scientist • <a href="https://www.whitecoat.global">WhiteCoat</a>

profile:
align: right
image: prof_pic.jpg
address: >
<p><i class="fab fa-wpforms"></i> <a href="cv">Résumé/CV</a></p>
<p>1 Fusionopolis Place #17-10</p>
<p>Singapore 138522</p>
<p>Singapore</p>


news: true # includes a list of news items
selected_papers: true # includes a list of papers marked as "selected={true}"
social: true # includes social icons at the bottom of the page
---

Hello 👋 Welcome! I am a Data Scientist at [Garena](https://www.garena.sg), and I love to explore data-driven approaches to solve real-world problems.
Hello 👋 Welcome! I am a Data Scientist at [WhiteCoat](https://www.whitecoat.global), a Southeast Asian digital health platform (SG/MY/PH/HK/ID), where I work across the full data function end to end — data engineering, analytics, data science, and company-wide AI transformation. I love using data-driven and agentic-AI approaches to solve real-world problems.

Before WhiteCoat, I was a Data Scientist at [Garena](https://www.garena.sg) (Sea Ltd), building recommendation systems for an online video live-streaming and community platform.

I got my M.Eng. from [Singapore University of Design and Technology](https://www.sutd.edu.sg) [ISTD Pillar](https://istd.sutd.edu.sg), advised by [Alexander Binder](https://www.visual-intelligence.no/people/alexander-binder) and [Kwan Hui Lim](https://sites.google.com/site/limkwanhui/).
I did research on explainable artificial intelligence (xAI) methods for interpreting deep learning models.
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