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Principal Applied Scientist @ Microsoft AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Glasgow
Doctor of Philosophy (PhD), Computer Science
January 1, 2011 – January 1, 2014
King Mongkut's Institute of Technology Ladkrabang
Bachelor of Engineering (B.Eng.), Information Engineering
January 1, 2000 – January 1, 2004
Microsoft
Principal Applied Scientist
January 1, 2025 – Present
Microsoft
Principal ML Tech Lead @ Bing
January 1, 2022 – January 1, 2025
Microsoft
Senior Applied Scientist Lead
October 1, 2019 – January 1, 2022
Amazon
Research and Applied Scientist
January 1, 2018 – October 1, 2019
Seattle, Washington
Accenture
Machine Learning and NLP
January 1, 2017 – January 1, 2018
Dublin, Ireland
University of Cambridge
Research Associate - Machine Learning for NLP
May 1, 2015 – December 1, 2016
Cambridge, United Kingdom
University of Glasgow
Research Assistant
July 1, 2014 – April 1, 2015
University of Glasgow
PhD student at University of Glasgow
October 1, 2010 – January 1, 2014
ExxonMobil
Data Analytics & Business Intelligence
February 1, 2005 – September 1, 2011
xsidekick
Software Engineer
April 1, 2004 – January 1, 2005
Bangkok, Thailand
Building Recommender Systems with Machine Learning and AI
June 24, 2026 – Present
Programming Foundations: Conducting Code Reviews
June 24, 2026 – Present
Learning PowerShell Core
June 24, 2026 – Present
Azure Machine Learning Development: 3 Deploying and Managing Models
June 24, 2026 – Present
Azure Machine Learning Development: 2 Learning ML Studio
June 24, 2026 – Present
Learning Azure Kubernetes Service (AKS)
June 24, 2026 – Present
Azure Spark Databricks Essential Training
June 24, 2026 – Present
Apache PySpark by Example
June 24, 2026 – Present
Communicating with Empathy
June 24, 2026 – Present
Apache Spark Essential Training
Lynda.com
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through a diverse career path spanning academia, research, and industry giants like Microsoft and Amazon. Their experience in leading teams and working on various AI applications (Health, Oil & Gas, Retail) suggests adaptability and a collaborative mindset. The long tenure at Microsoft (multiple roles) indicates loyalty and ability to thrive in large, complex organizations. The breadth of skills and project diversity align well with an innovative and fast-paced environment.
Soft Skills & Operational Fit
The candidate's career progression into leadership roles (Principal Applied Scientist, Principal ML Tech Lead, Senior Applied Scientist Lead) at Microsoft indicates strong leadership, project management, and team collaboration skills. The descriptions of leading teams and shipping novel AI products suggest effective communication and operational execution. Certifications like 'Communicating with Empathy' further support a focus on interpersonal skills.