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Director @ Google DeepMind. AI Impact Acceleration
tl;dr - I like to design and build systems which can improve the way we do things with our lives Ramine is a Managing Director at Accenture, Singapore. He currently leads the APAC Center for Advanced AI, and previously led the South East Asia Data and AI Practice (Data Science and Machine Learning), in the Strategy and Consulting group. He also moonlights as the Chief Data/Computer Scientist for the region. Previously, Ramine was an AI/ML Specialist for Amazon Web Services, where he supports AI/ML engagements. Ramine also was an APAC Lead Data Scientist in Microsoft's Data and AI Domain (Microsoft Consulting Services), based in Singapore, where he supported the delivery of Enterprise-focused projects across South East Asia. Ramine has experience across several industries including Defense, Public Safety, Borders/Immigration, Finance, Manufacturing, Oil and Gas, Pharma, and Telecommunications. Ramine began his career as researcher and Computer Scientist, focusing on data engineering and analysis challenges, with a broad interest in exciting areas including social computing, crowdsourcing, and various applications of deep learning. Ramine is a Visiting Research Fellow Web and Internet Science group in the Electronics and Computer Science department at the University of Southampton. During his time there, he was responsible for the architecture and implementation of large-scale systems for real-time sources of Web data. A core component of Ramine's research was leading a team to solve data integration and machine learning challenges.
Massachusetts Institute of Technology
Generative AI for Reinvention: Enabling the C-Suite, Computer Science
October 1, 2023 – October 1, 2033
University of Southampton
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2010 – January 1, 2013
University of Southampton
MSc (Dist), Web Science
N/A – Present
University of Southampton
BSc (Hons), Computer Science
N/A – Present
North Devon College
High School, Mathematics, Electronics, Physics, Computing
N/A – Present
Google DeepMind
Director - APAC
February 1, 2026 – Present
Singapore · On-site
Accenture
Chief AI Officer (Accenture-Telstra JV)
April 1, 2025 – February 1, 2026
Accenture
Singapore AI Engineering Hub Lead
December 1, 2024 – February 1, 2026
Accenture
Global Managing Director - APAC Center for Advanced AI Lead
September 1, 2024 – February 1, 2026
Accenture
Managing Director - SEA Center for Advanced AI
December 1, 2023 – September 1, 2024
Singapore Computer Society
AI Ethics & Governance Body of Knowledge
May 1, 2022 – Present
Singapore
Accenture
Managing Director - Applied Intelligence (Data and AI)
June 1, 2021 – September 1, 2024
Accenture
Managing Director - Applied Intelligence
May 1, 2020 – September 1, 2024
Amazon Web Services (AWS)
Global AI/ML Evangelist
November 1, 2019 – May 1, 2020
Singapore
Microsoft
Microsoft Worldwide Community Lead for Artifical Intelligence
August 1, 2019 – November 1, 2019
Microsoft
Senior Data Scientist
November 1, 2017 – January 1, 2019
University of Southampton
New Frontiers Fellow. Senior Research Scientist
January 1, 2017 – November 1, 2017
Microsoft
(Principle) Lead Delivery Data Scientist (Machine Learning and AI)
January 1, 2017 – November 1, 2019
University of Southampton
Senior Research Fellow
July 1, 2016 – December 1, 2016
University of Southampton
SOCIAM Research Fellow
October 1, 2013 – June 1, 2016
University of Southampton
Research Engineer
November 1, 2010 – October 1, 2013
University of Southampton
Web Science Doctoral Training Center
October 1, 2009 – September 1, 2013
J.P. Morgan
System Architect
January 1, 2009 – December 1, 2009
Bournemouth, United Kingdom
Transcendental Information Cascades
September 1, 2015 – Present
I investigate the intrinsic information transmission capabilities of information spaces such as the World Wide Web. The transcendental information cascades method abstracts the (social) context away from the technological substrate to understand intrinsic information cascades, considering not only local understanding of complex events but also a global view. The approach exploits only the temporal order of content streams, and intrinsic properties of the individual content elements itself, to construct cascades of information co-occurrence. This makes it a suitable approach to trace emergent information flows in scenarios where rich contextual features are unavailable, positioning it as a promising method for context-free exploratory data analysis.
Web Macroscope
March 1, 2015 – Present
The Web Macroscope provides an observational and analytical lens on various different Web streams in real-time. The Macroscope also provides an interactive interface to allow participants to filter and aggregate multiple streams of data.
Flow140
March 1, 2014 – Present
Design and development of a real-time streaming application to monitor the flow of conversation within online social networks including Twitter. Using a bespoke algorithm (patent pending), Flow140 is able to identify and visualise streams of relevant conversation as well as the key influencers, in real-time. Flow140 has been shown to work as an effective tool in understanding, monitoring, and reacting to breaking news and events, across multiple sectors of industry and government. Articles relating to Flow140: http://www.marketwatch.com/story/edelman-flow140-reveals-tweets-with-greatest-velocity-during-state-of-the-union-2013-02-13/rescue?SourceUrl=http%3A%2F%2Fwww.marketwatch.com%2Fstory%2Fedelman-flow140-reveals-tweets-with-greatest-velocity-during-state-of-the-union-2013-02-13 http://www.politico.com/story/2013/01/new-software-tracks-most-frequent-retweets-86528.html http://www.prnewswire.com/news-releases/edelman-flow140-reveals-tweets-with-greatest-velocity-during-state-of-the-union-191027431.html
SoFWIReD: Southampton Fraunhofer Web Science, Internet Research and Development
June 1, 2013 – Present
The goal is to leverage the value of open data for e-business by exploring the value of open data in supply chains and logistics, and to deploy mechanisms for public engagement in collecting and leveraging open data related to e-government.
SOCIAM
May 1, 2013 – Present
The SOCIAM project aims to undertake pioneering research into various forms of technology-mediated social participation, with a specific emphasis on Web-based systems, such as Wikipedia and Galaxy Zoo. The SOCIAM project is a large multi-partner research initiative that involves the Universities of Southampton, Oxford and Edinburgh. My own research in the SOCIAM project was focused on the definition and classification of social machines using concepts imported from the philosophy of mind literature and taxonomic research in the biological sciences.
AWS Solution Architect: Professional
A Cloud Guru | A Pluralsight Company
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Discrete Optimization
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
WEB 3.0 KNOWLEDGE CERTIFICATE IN FINANCIAL SERVICES
National University of Singapore
June 24, 2026 – Present
Data-driven reinvention masterclass
Accenture
June 24, 2026 – Present
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
MicroMasters: Driving Digital Innovation Through Experimentation
Boston University
June 24, 2026 – Present
DAT207x: Analyzing and Visualizing Data with Power BI
edX
June 24, 2026 – Present
Generative AI for Reinvention: Enabling the C-Suite
MIT Professional Education
June 24, 2026 – Present
Big Data Analysis with Scala and Spark (Scala 2 version)
Coursera
June 24, 2026 – Present
AWS Certified Machine Learning - Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Story Impact: Learning to Connect and Compel
Microsoft - Lange International
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards cutting-edge AI and data science research and application, aligning well with innovative and forward-thinking organizational cultures. Their experience across academic research, major tech companies (Microsoft, AWS, Google DeepMind), and global consulting (Accenture) demonstrates adaptability and a broad understanding of different operational environments. The involvement in AI Ethics & Governance suggests a commitment to responsible AI development. The diverse project portfolio, from academic research to real-time social network analysis, indicates a curious and versatile individual. However, the target role of 'Data Analyst' might be a significant step down from their current and past leadership roles (Director, Chief AI Officer, Managing Director), potentially leading to a mismatch in expectations regarding scope and responsibility. While technically overqualified, the role alignment needs careful consideration to ensure long-term engagement.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at top-tier technology and consulting firms suggests strong communication, strategic thinking, and team collaboration skills. Their involvement in setting up and leading AI engineering hubs indicates operational leadership and the ability to build and manage high-performing technical teams. The focus on client solutions and business transformation implies strong problem-solving and stakeholder management abilities. The 'Generative AI for Reinvention: Enabling the C-Suite' certification further highlights a strategic and business-oriented mindset.