Dr Alex AnticAdvisor
Alex has 18+ years post-PhD experience and knowledge in areas that include Advanced Analytics, Machine Learning, Artificial Intelligence, Mathematics, Statistics, and Quantitative Analysis, developed across multiple domains: Federal and State Government, Asset Management, Insurance, Academia, Banking (Investment and Retail) and Consulting.
Alex was recognised in 2021 as one of the Top 5 Analytics Leaders in Australia by IAPA (Institute of Analytics Professionals of Australia). He also holds several senior advisory roles across industry, government, start-ups, and academia.
His qualifications include a Ph.D. in Applied Mathematics, First Class Honours in Pure Mathematics, and a double degree in Mathematics and Computer Science.
Mark RidleyAdvisor
Mark is an independent director and executive adviser. He has particular strengths in governance, risk and control in relation to ICT as well as financial management and organisational leadership challenges.
He is currently the independent chair of the audit & risk committees (ARC) for Department of Foreign Affairs and Trade; the Australian Signals Directorate; chair of the finance, risk and audit committee for CO2CRC Limited; member of the Audit Committee and independent ICT program adviser for the Australian Electoral Commission; and formerly a member of the Advisory Board and chair of ARC for the Royal Australian Mint; independent member of the ARC for the Australian Federal Police; Australian Crime Commission; the Australian National University; and the Department of Defence.
Mark was previously a senior partner with PricewaterhouseCoopers.
Timothy ScholesStrategy, Architecture and Product Lead
Tim has extensive experience working in technology and business. He has worked at Standard Bank, Macquarie Bank, Commbank, Qantas Insurance, AWS and A Cloud Guru. He has headed up data and AI projects delivering services to various parts of the Australian government. He has deep experience working on all major cloud platforms.
Tim has deep experience architecting and delivering complex technology solutions that involve cloud computing, algorithms, data and machine learning. He has also developed many AI and Data strategies.
Tim has been a founder and co-founder of a number of tech start-ups. He is a graduate of the Founder Institute in Sydney.
His qualifications include a M.Sc in Applied Mathematics (cum laude), Executive MBA from the University of Sydney and a B.Sc in pure mathematics and chemistry. Tim is currently pursuing a Ph.D in Quantum Machine Learning at the University of Technology Sydney.
Genevieve KellyInformal Advisor
Genevieve has over 14 years in Google Product and GTM roles with a focus on Product-led growth (strategy, operations, delivery), partnerships and building high performing teams.
She held positions both as IC and in leadership positions across Google’s platform, marketplace and analytics products in Australia, SEA and Japan.
Her qualifications include EMBA from Sydney University, BA from UTS (Media Production). Genevieve is currently undertaking a PHD with UTS Institute of Sustainable Futures exploring the intersection between sustainability transitions, climate software startups and data ecosystems.
Luokun GongEngineer and Architect
Luokun Gong has significant experience working with artificial intelligence and machine learning, having working on projects involving audio processing, facial recognition, agentic AI, and generative AI. Luokun is a engineer with experience across all major cloud platforms. He has a knack for applying theoretical knowledge to solve real-world technological challenges.
His qualifications include a Master of Applied Data Analytics with and a Bachelor of Software Engineering from the Australian National University.
Luokun’s certifications include GCP Professional Machine Learning Engineer and Google Tensorflow.
Yizhe Xin Machine Learning Engineer
Yizhe is a highly experienced AI researcher and machine learning engineer with a strong background in computer vision and large language models. He holds a Master’s degree in Artificial Intelligence from the Australian National University. Yizhe has a track record of solving complex real-world problems.
Passionate about advancing artificial intelligence, Yizhe continually leverages cutting-edge algorithms and actionable insights to drive impactful solutions. His dedication to innovation and continuous improvement ensure that our technologies remain at the forefront of progress in AI.
Yizhe’s certifications include GCP Professional Machine Learning Engineer and Tensorflow.
Zhao ZhangMachine Learning Engineer
Zhao is a Machine Learning Engineer with hands-on experience in software development and scalable SaaS application engineering. He possesses deep expertise in machine learning, with a focus on computer vision and generative AI. Zhao is proficient in cloud computing, with a focus on Google Cloud Platform (GCP).
With extensive experience in machine learning and software development, Zhao is highly skilled in architecting and developing complex projects that require the integration of different technologies across multiple domains.
He holds advanced degrees in applied mathematics and applied statistics from The Australian National University.
Zhao’s certifications include GCP Professional Machine Learning Engineer, Data Engineer, as well as Google Tensorflow.
Alvin LiCloud and Data Engineer
Alvin has extensive expertise in data engineering, with a strong focus on designing and optimizing scalable pipelines, intelligent systems, and advanced analytics.
Alvin has a deep knowledge of GitOps, DataOps and ML Ops.
Alvin holds a Master of Information Technology from Monash University.
Alvin’s certifications include GCP Professional Security Engineer, Machine Learning Engineer, Data Engineer, Cloud Developer and Cloud Architect. He is also certified in Neo4j.
Aditya AnandData Analyst
Aditya delivers data-centric solutions that enhance operational efficiency and enable data-driven decision-making.
He has designed and implemented advanced analytics solutions using tools such as Power BI, Snowflake, SQL, and Python, enabling businesses to harness the full potential of their data through real-time dashboards, optimized workflows, and scalable data solutions.
Aditya holds a dual Master’s degree in IT and IT Management from the University of Sydney, with a focus on Data Management and Analytics.
He is certified in Snowflake and Power BI and holds a Bachelor of Technology in IT from SRM University.
Jin OhData Analyst
Jin is an experienced data professional with over 15 years of experience in data analysis, data engineering, and data science. He has extensive experience across diverse sectors including technology, banking, consulting, healthcare, construction, finance, and technology throughout Asia and Australia.
A strategic thinker, Jin effectively bridges business needs with technical solutions, fostering data-driven cultures to enhance decision-making and operational efficiencies.
His qualifications include a Master of Commerce and a Bachelor of Computer Engineering (Hon) from the University of New South Wales.
Kan Li Machine Learning Engineer
Kan Li has extensive experience in designing and implementing robust data pipelines, training and optimising machine learning Models.
Kan has experience working on natural language processing, anomaly detection, and generative AI projects using GCP and AWS.
Kan’s qualifications include a Master of Actuarial Science from the Australian National University and B.Sc in Applied Mathematics.
Kan’s certifications include Google Tensorflow, GCP Professional Machine Learning Engineer and AWS Machine Learning Specialist.
Steven LuoMachine Learning Engineer
Steven has formerly interned at ByteDance, Deloitte, and PwC, gaining experience as both a machine learning engineer and a financial data analyst.
He possesses a diverse skill set spanning artificial intelligence, software engineering, and financial analysis.
Steven holds a Master of Information Technology with a specialisation in Artificial Intelligence from the University of Melbourne, as well as a Bachelor’s degree in Information Systems.
In addition, he is certified as a Professional Machine Learning Engineer by Google.
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