AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Helping organisations to drive safe and reliable GenAI transformations
Heading up the AI/ML practice at Servian, I help our clients deliver value leveraging both applied and research advancements in artificial intelligence field of study, including deep learning, natural language processing, video & image analytics. I also lead our internal AI/ML research team to develop a productised offering that utilises cutting-edge research achievements to solve enterprise problems. An example of that being Servian’s scalable deep learning-based AI system VisualCortex. I come from a computer science and engineering background and have over 10 years of experience in this space that ranges from infrastructure engineering to business intelligence, big data and AI/ML. I am passionate about leveraging data analytics, machine learning and intelligent user experience to solve business problems and integrating AI into the everyday operations of companies across industries. Leading Servian’s AI division allows me to bring machine learning assistance directly to our clients, show them how we can use AI to help them overhaul repetitive tasks or turn unstructured data into a queryable source. My main areas of technical expertise include: - Apache Spark, Hadoop and associated big data technologies - Business Intelligence Stack (Cognos BI, SAP BO, OBIEE, MicroStrategy) - Data Visualization and Analytics (Tableau) - Data Integration/Warehousing (PowerCenter, SSIS, Data Integrator) - Data Modelling (Relational, Dimensional) - Query languages (SQL, MDX) - Programming/Scripting/Markup (Scala, C/C++, VB.NET, C#, Java, Python, PHP, Perl, Javascript, XML, HTML, CSS) - Windows Infrastructure and Networking
University of Sydney
BSc, Computer Science
January 1, 2003 – January 1, 2006
Vivanti Consulting
Director
February 1, 2025 – Present
Sydney, New South Wales, Australia · On-site
Accenture Australia
Head of AI Engineering - Center for Advanced AI
May 1, 2024 – February 1, 2025
Sydney, New South Wales, Australia
Servian
Associate Partner - Head of AI/ML
May 1, 2017 – March 1, 2024
Servian
Managing Consultant
January 1, 2015 – May 1, 2017
Servian
BI Consultant
April 1, 2011 – December 1, 2014
IBM
Business Intelligence Specialist
March 1, 2010 – April 1, 2011
IBM
IT Specialist
February 1, 2007 – February 1, 2010
Certified Developer - Cognos 10 BI Metadata Models
IBM
June 24, 2026 – Present
Certified Developer - Cognos 8 BI Metadata Models
IBM
June 24, 2026 – Present
Technology Specialist - Windows 7, Windows Server 2008
Microsoft
June 24, 2026 – Present
Certified Designer - Cognos 10 BI Reports
IBM
June 24, 2026 – Present
Certified Designer - Cognos 8 BI Reports
IBM
June 24, 2026 – Present
Apache Spark Developer Certification
O'Reilly
June 24, 2026 – Present
MCSE - Windows Server 2003
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Servian, progressing through various roles from BI Consultant to Associate Partner - Head of AI/ML, demonstrating loyalty and growth within an organization. Their experience spans consulting, AI/ML leadership, and BI, indicating adaptability. The target role is 'Big Data Engineer', which aligns with their Apache Spark certification and early BI experience, but their recent focus has been heavily on AI/ML leadership. This might represent a slight pivot or a desire to return to more hands-on engineering in Big Data. The diversity of industries mentioned (FSI, Retail, Mining, Utilities, Telco, Public Sector) suggests broad exposure and adaptability to different client environments.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Director, Head of AI Engineering, Associate Partner - Head of AI/ML) suggests strong leadership, strategic thinking, and client advisory skills. Their role in establishing AI/ML practices indicates initiative and operational development capabilities. However, without specific project details or direct communication samples, it's difficult to assess collaboration or stress handling beyond the psychometric test's general focus.