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Co-Founder & CTO @ Mirmi AI | Automation x Legal AI
Data Science Leader & AI Architect with 15+ years of cross-industry experience, driving AI transformations across fintech, insurtech, and consulting environments. Holding a PhD in Applied Mathematics, I blend rigorous technical expertise with strategic advisory skills to architect scalable AI systems, lead high-performing teams, and align innovations with business objectives. Specializing in Generative AI, Responsible AI practices, and cloud architectures, I excel in navigating ambiguity through discovery workshops, technical roadmapping, stakeholder influence, and hands-on development to optimize processes in finance, legal, insurance, and beyond. Core competencies: Generative AI, Machine Learning, NLP, LLMs, LLM fine-tuning, MLOps, Data Strategy, A/B Testing, Python, AWS, Azure, GCP, SQL, Vector Databases, Graph Databases, Team Leadership, Cross-functional Collaboration, Data Management, Optimisation, Automation, Product Development, MTA, MMM Tools & Tech Stack: PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LlamaIndex, N8N, LLM APIs, RAGAS, HITL, Python, scikit-learn, Spark, NLP, A/B Testing, AWS (SageMaker), Azure, GCP, BigQuery, MLflow, Airflow, Docker, Neo4j, SQL, NoSQL, vector databases, dbt, Power BI, Tableau, Streamlit, FastAPI
Monash University
Doctor of Philosophy (Ph.D.), Applied Mathematics
January 1, 2006 – January 1, 2010
Mirmi AI
Co-Founder & CTO
February 1, 2026 – Present
Paris, Île-de-France, France · Remote
Skye AI
Founder & Principal AI Consultant
October 1, 2024 – February 1, 2026
Sydney, New South Wales, Australia · Remote
Complexio
Head of Data Science
January 1, 2024 – October 1, 2024
Sydney, New South Wales, Australia · Remote
Sage
Principal Data Scientist
February 1, 2021 – January 1, 2024
Sydney, New South Wales, Australia · Remote
Cover Genius
Senior Data Scientist
September 1, 2019 – February 1, 2021
Sydney, New South Wales, Australia · On-site
Digitas Australia
Lead Data Scientist
July 1, 2018 – September 1, 2019
Sydney, New South Wales, Australia · On-site
Ticketek Entertainment Group
Data Scientist
November 1, 2016 – July 1, 2018
Sydney, New South Wales, Australia · On-site
University of Sydney
Honorary Associate
June 1, 2015 – May 1, 2016
Sydney, New South Wales, Australia · On-site
Capital Markets CRC Limited
Data Scientist
May 1, 2015 – November 1, 2016
Sydney, New South Wales, Australia · On-site
UNSW
Associate Lecturer - Mathematical Modeller
May 1, 2010 – December 1, 2014
Sydney, New South Wales, Australia · On-site
Tilburg University
Research Assistant (AiO)
April 1, 2002 – March 1, 2006
Brabantine City Row · On-site
Institute of Mathematics NAS of Ukraine
Research Assistant
October 1, 2001 – April 1, 2002
Kyiv City, Ukraine · On-site
Scalable Machine Learning (UC Berkeley)
edX
June 23, 2026 – Present
Deep Learning Specialization
Coursera
June 23, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 23, 2026 – Present
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Coursera
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
Algorithms: Design and Analysis, Part 1 (Stanford University)
Coursera Course Certificates
June 23, 2026 – Present
M101P: MongoDB for Developers
MongoDB
June 23, 2026 – Present
Deep Learning (Google)
Udacity
June 23, 2026 – Present
Interactivity with JavaScript (University of Michigan)
Coursera
June 23, 2026 – Present
Introduction to Recommender Systems (University of Minnesota)
Coursera Course Certificates
June 23, 2026 – Present
Behavioural Economics in Action (University of Toronto)
edX
June 23, 2026 – Present
Financial Markets (Yale University)
Coursera Course Certificates
June 23, 2026 – Present
Customer Analytics (University of Pennsylvania)
Coursera Course Certificates
June 23, 2026 – Present
Practical Predictive Analytics: Models and Methods (University of Washington)
Coursera
June 23, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 23, 2026 – Present
Introduction to Big Data with Apache Spark (UC Berkeley)
edX
June 23, 2026 – Present
Introduction to Marketing (University of Pennsylvania)
Coursera Course Certificates
June 23, 2026 – Present
Practical Machine Learning (Johns Hopkins University)
Coursera
June 23, 2026 – Present
R Programming (Johns Hopkins University)
Coursera
June 23, 2026 – Present
Machine Learning (Stanford University)
Coursera
June 23, 2026 – Present
Intro to Relational Databases
Udacity
June 23, 2026 – Present
Google Analytics Individual Qualification
June 23, 2026 – Present
Exploratory Data Analysis (Johns Hopkins University)
Coursera
June 23, 2026 – Present
Statistical Inference (Johns Hopkins University)
Coursera
June 23, 2026 – Present
Getting and Cleaning Data (Johns Hopkins University)
Coursera
June 23, 2026 – Present
The Data Scientist’s Toolbox (Johns Hopkins University)
Coursera
June 23, 2026 – Present
Reproducible Research (Johns Hopkins University)
Coursera
June 23, 2026 – Present
Building Systems with the ChatGPT API
DeepLearning.AI
June 23, 2026 – Present
Evaluating AI Agents
DeepLearning.AI
June 23, 2026 – Present
Microsoft Azure Fundamentals (AZ-900) Cert Prep: 4 Azure Management and Governance
June 23, 2026 – Present
Microsoft Azure Fundamentals (AZ-900) Cert Prep: 3 Azure Services
June 23, 2026 – Present
Microsoft Azure Fundamentals (AZ-900) Cert Prep: 2 Azure Architecture and Security
June 23, 2026 – Present
Microsoft Azure Fundamentals (AZ-900) Cert Prep: 1 Cloud Concepts
June 23, 2026 – Present
Microsoft Azure AI Fundamentals (AI-900) Cert Prep by Microsoft Press
June 23, 2026 – Present
Event-Driven Agentic Document Workflows
DeepLearning.AI
June 23, 2026 – Present
Rust Essential Training
June 23, 2026 – Present
Serverless Agentic Workflows with Amazon Bedrock
DeepLearning.AI
June 23, 2026 – Present
Advanced Retrieval for AI with Chroma
DeepLearning.AI
June 23, 2026 – Present
Prompt Engineering with Llama 2
DeepLearning.AI
June 23, 2026 – Present
Serverless LLM Apps with Amazon Bedrock
DeepLearning.AI
June 23, 2026 – Present
Reinforcement Learning From Human Feedback
DeepLearning.AI
June 23, 2026 – Present
Finetuning Large Language Models
DeepLearning.AI
June 23, 2026 – Present
LangChain Chat with Your Data
DeepLearning.AI
June 23, 2026 – Present
LangChain for LLM Application Development
DeepLearning.AI
June 23, 2026 – Present
Generative AI with Large Language Models
Coursera
June 23, 2026 – Present
Snowflake - Introduction Course
Coursera
June 23, 2026 – Present
Agile Project Management
Coursera
June 23, 2026 – Present
Version Control
Coursera
June 23, 2026 – Present
Programming with JavaScript
Coursera
June 23, 2026 – Present
Introduction to Machine Learning in Production
Coursera
June 23, 2026 – Present
ETL and Data Pipelines with Shell, Airflow and Kafka
Coursera
June 23, 2026 – Present
Cryptocurrency and Blockchain: An Introduction to Digital Currencies
Coursera
June 23, 2026 – Present
Natural Language Processing in TensorFlow
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (AI startups, finance, e-commerce, government, academia) and roles (CTO, Founder, Head of Data Science, Principal Data Scientist) demonstrates adaptability and a broad skill set. Their continuous pursuit of certifications in emerging AI/ML technologies indicates a strong learning orientation. While the candidate's background is heavily skewed towards Data Science and AI/ML engineering, their target role is 'Data Analyst'. This represents a potential mismatch in scope and seniority, as their experience far exceeds typical Data Analyst responsibilities, which might lead to underutilization of their advanced skills or a lack of engagement with more foundational data analysis tasks. The breadth of their skills and project diversity suggest a strong capacity for innovation and problem-solving, which could be a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, stakeholder management, strategic thinking, and problem-solving skills. Their experience in consulting and leading teams suggests a proactive and collaborative approach. The extensive project descriptions indicate an ability to manage complex initiatives from discovery to deployment, aligning technical execution with commercial goals. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration cannot be made.