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AI Transformation | Architecture | Startup Advisor
Most AI conversations start with the technology. I start with the problem. If the problem doesn't justify the architecture, the cost, and the risk — the answer is don't build it. 15 years shipping AI across banking, government, aviation, and retail. The pattern is always the same — the model is the easy part. Governance, cost, infrastructure, stakeholders, and keeping it alive in production — that's where most projects die. Please note: I do not work on projects involving alcohol, tobacco, or dating platforms.
University of Auckland
Master of Engineering - MEng
June 1, 2019 – November 1, 2022
Biju Patnaik University of Technology, Odisha
B-Tech, Electronics and Telecommunication Engineering
January 1, 2004 – January 1, 2008
Govt.College,Rourkela
Intermediate Science and Maths, Maths and Science
January 1, 2002 – January 1, 2004
Udacity
Machine Learning Engineer for Microsoft Azure, Machine Learning Engineer for Microsoft Azure
N/A – Present
Ministry for the Environment | Manatū mō te Taiao
Data Scientist (AI / ML Transformation Lead)
April 1, 2025 – June 1, 2025
On-site
Woolworths Group
Senior Data Scientist - Generative AI
August 1, 2023 – April 1, 2025
Auckland, New Zealand · Hybrid
The University of Auckland
Guest Lecturer
February 1, 2023 – February 1, 2023
The Warehouse Group
Lead Data Scientist (AIML)
March 1, 2022 – April 1, 2023
Hybrid
ANZ
AIML Solution Architect (Senior Data Scientist)
June 1, 2020 – March 1, 2022
New Zealand
Air New Zealand
Senior Data Scientist | Cognitive Service Capability Lead
September 1, 2018 – June 1, 2020
Auckland, Auckland, New Zealand
Inland Revenue NZ
Data Scientist
October 1, 2016 – September 1, 2018
Auckland, Auckland, New Zealand
Tata Consultancy Services
Sr. Business Analyst - Data Science
March 1, 2015 – September 1, 2016
Bengaluru, Karnataka, India
KPMG
Big Data Consultant
October 1, 2014 – February 1, 2015
Bangalore Urban, Karnataka, India
Deloitte
Consultant
June 1, 2014 – October 1, 2014
Bengaluru, Karnataka, India
LTI - Larsen & Toubro Infotech
Big Data Analyst (Advanced Analytics)
June 1, 2010 – May 1, 2014
Bangalore
Graphs for AI Agent: API Discovery
DeepLearning.AI
June 24, 2026 – Present
Claude Code: A Highly Agentic Coding Assistant!
DeepLearning.AI
June 24, 2026 – Present
AI for Cybersecurity
The Johns Hopkins University
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Amazon Web Services
Amazon Web Services (AWS)
June 24, 2026 – Present
Microsoft Deep Learning
Microsoft
June 24, 2026 – Present
Data Science Associate (EMCDSA)
Dell EMC
June 24, 2026 – Present
Oracle 11g(1Z0-051) certification
Oracle
June 24, 2026 – Present
N32 IBM Biginsight Certified
IBM Labs
June 24, 2026 – Present
N38 IBM InfoSphere BigInsights Technical Mastery Certified
IBM Labs
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a broad range of experience across various sectors including government, retail, banking, and aviation, demonstrating adaptability and exposure to diverse organizational cultures. The progression through senior and lead roles, coupled with a guest lecturer position, suggests a proactive and collaborative approach. However, the target role of 'Data Analyst' is a significant step down from their recent 'Senior Data Scientist - Generative AI' and 'Data Scientist (AI / ML Transformation Lead)' roles, which might indicate a potential mismatch in expectations or a lack of challenge in the target role. This could lead to a cultural fit issue if the candidate is overqualified or seeking a less demanding role than their experience suggests.
Soft Skills & Operational Fit
The candidate's extensive experience in lead and senior data science roles suggests strong problem-solving, strategic thinking, and potentially good communication skills, as evidenced by a guest lecturer role. The diverse company experience (Ministry for the Environment, Woolworths, ANZ, Air New Zealand) indicates adaptability and ability to integrate into different operational environments. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.