Our story so far

We have
delivered over


For over






Our Mission

“Our mission is to deliver world-leading Artificial Intelligence solutions which help our customers to grow exponentially, operate efficiently, and build competitive advantage.”

Our Vision

“Our vision is to transform organisations by making them highly reactive, smarter, and driven by data so that they are ready to thrive in the age of Artificial Intelligence.”

Our Journey 

Intellify was born in January of 2018 when our founders came together with a shared passion for solving Australia’s hardest business problems through advanced data and machine learning solutions. 

They sought to build a specialist consultancy that was able to deliver measurable ROI in weeks, not months, by combining the business acumen of management consultants, the algorithmic knowledge of Australia’s best data scientists as well as the data and cloud skills of leading DevOps professionals. 

 After growing from our 4 founders to over 15 staff in early 2019, and delivering many successful projects for large enterprises and government along the way, Intellify was named Amazon Web Services Partner of the Year in 2019 for Data, Analytics, and Machine Learning. This achievement was due to Intellify’s customer obsession, experienced consultants, and several high impact machine learning projects across the areas of telecommunications, energy, and transport.  

In 2020, with over 25 consultants, Intellify was awarded Amazon Web Service’s Machine Learning Competency, only the 2nd consulting partner in Australia and New Zealand, through our demonstrated best practice of machine learning on Amazon Web Services cloud computing platform.

Our Core Pillars 

One Team

We collaborate and grow together; speak up for what we believe, while embracing our diversity of backgrounds, views, and opinions.

Continuous Improvement

We seek to continuously improve ourselves and our services to become and stay the market leader.


We hold ourselves accountable and insist on the highest standards in everything we do.

Giving to &
for the future

We understand the responsibilities of disruptive technology and strive to give to our communities, act ethically and responsibly, and support generations present and future.

Customer Obsession

We earn trust by dedicating ourselves to making amazing service our norm.

Our People 

We are a team of over 25 experts who are dedicated to supplying our clients with projects that deliver real business value.
We would like to present some of our team. 

Leadership Team
Kale Temple
Co-Founder & Co-CEO
Kale has consulted with a number of the world’s leading corporate and government organisations, Kale leverages expertise in data science and machine learning to architect solutions that empower business performance and growth. Since 2014, he has co-founded and scaled two successful technology start-ups and as Data Scientist & Consultant at Agile BI, played a key role in building the business from the ground up into a world-leading Microsoft Power BI Partner.
Matt Alamdari
Co-Founder & Co-CEO
Matt has more than ten years’ experience in Project, Program, and Portfolio management in IT and finance industries with large corporate and government organisations like AMP, Woolworths, Transport for NSW, NBN Co. and Nokia. Matt is Project Management Professional (PMP) certified and an MBA candidate through the University of NSW.
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Koorosh Lohrasbi
Koorosh is the co-founder of Sydney Machine Learning meetup and travels to us from Amazon Web Services (AWS) where he spent years as an Enterprise Solutions Architect perfecting the art of digital transformation.
James Triggs
AI Delivery Lead
James has a MBA from the Australian Graduate School of Management, and a degree in Computer Engineering from the University of New South Wales. With strong commercial and business sense, technical understanding and seasoned experience in implementation and delivery from working in large multinationals and tech startups. He has worked in a broad range of industries in Product Management, Engineering Management and Project Management.
Cam Cairns
Practice Director
Cam is a Principal Consultant/Senior Data Scientist who is passionate about leading data science teams and delivering quality models, and analytic products. He has worked creating machine learning based insurance models in a real-time environment. He has an academic background in large scale Atmospheric Physics developing climate model on supercomputers in Australia and the UK, to better understand long term changes in Earth’s atmosphere.
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Jeffrey Singh
General Manager - Strategy
As a Machine Learning & AI technology strategist, Jeffrey specialises in Globalization and Transformation in various industries such as IT, Telecommunication, Transport, Marketing, Media, BPO, and Financial Services.
Nikzad Rizvandi, PhD
Chief Data Scientist
Nikzad has worked as a data scientist and software engineer in many well-known companies and start-ups in Europe and Australia for over 8 years. He has applied expertise in various aspects of data science to impact organisations by implementing new services and optimising available applications.
Ammar Mohemmed, PhD
Senior Data Scientist
Ammar has over 15 years of experience in Data Science, computing, and research, working with companies including Xtracta and Lendi. He holds a PhD in Particle Swarm Optimisation from MMU.
David Howell
David Howell
Senior Data/ML Engineer
David Howell MBA BSc started his career in the laboratory as an environmental chemist before shifting into the world of data engineering. Along the way he honed his skills and developed expertise in data and decision systems, always retaining a laser focus on business outcomes. David has a special interest in innovation, sustainability, and resilience and is always imparting his learned wisdom to those around him. He has diverse and authentic industry experience across science, recruitment & HR, media, banking, real estate, fintech, and edtech with broad & deep specialties across numerous cloud data platforms and technologies.
Richard Hunt
Senior Consultant
Richard has over 18 years of experience in Data Science, IT, and statistics, working with companies including Vodafone, NBN co., and News Corp. He holds a Master’s degree in Theoretical Statistics from the University of Sydney and is currently undertaking his PhD.
Arman Tajbakhsh
Data & ML Engineer
Arman joined us from Vocus where he was leading a team of data engineers and data scientists. He has over a decade of experience working in Energy and Retail sectors modernising analytics platforms and delivering innovative and award-winning solutions. He has a long history of architecting and implementing scalable data ecosystems using Amazon Web Services (AWS).
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Prakash Chebolu
Data & ML Engineer
Prakash has been in the IT world for more than 8 years. He began is career as a Unix Engineer and moved onto the space of Big Data and analytics. Before joining us at Intellify, Prakash worked at Amazon Web Services for over 3 years where he had great success helping customers in providing solutions across the Different Big data and analytical architectures.
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Jiaxi Li
Data & ML Engineer
Jiaxi travels to us from Amazon Web Services where he spent more than 3 years as a cloud engineer specialising in Big Data and machine learning solutions. He completed his Bachelors degree of IT at USYD. He has a passion for focusing on data, machine learning and productisation solutions on AWS.
His favourite quote is, “Science fiction is a literature of possibilities”.
Mohammed Al-Ademi
Mohammed Al-ademi
Data & ML Engineer
Mohammed joins us from Woolworths group where he assisted data and business logic migration from the in-house data warehouse to GCP. Mohammed is a software engineer with a wide set of expertise. He is passionate about exploring the potential insights #data could have, and how various institutes derive exciting and useful applications out of crude data.
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Ke Zhu
Data & ML Engineer
Ke joins us from Sophos and is an experienced Data Scientist/Software Engineer with a demonstrated history of working in the computer software industry. Skilled in efficient algorithm design, scalable system architecture, databases, and big data warehousing. He has also acquired his PhD in computer science from UNSW.
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Gulnar Grover
Data & ML Engineer
Gulnar joins us from Parrot Analytics, where he worked as a product team lead and data engineer. Off the back of completing his Master's in IT, he joined PA and contributed to its growth from a 15 people start-up to a world leader in TV analytics - providing insights into demand for TV content to the best and biggest content companies in the world. Gulnar's technical work focused on building and maintaining data pipelines to collect and process large amounts of data from social media using a range of Amazon Web Services (AWS) big data services. He also lit the match for the development of a prototype for a consumer app for content discovery and recommendation.
Corrine Tan
Corrine Tan
Data Engineer
Corrine has been working for Invigor Group (a ASX-listed startup company) for one and half years as a Data Engineer. Previously, she received her masters of Computer Science in University of Melbourne and her bachelors degree in Purdue University in the USA. I have a particular passion in Image Processing since 2015 when I did my internships in Hewlett Packard and Poshmark. I have experience in Natural Language Processing as well.

Together, we have successfully delivered projects for our clients.


Our Partners 

We work with leading technology providers to build and deliver solutions that solve our customer’s most challenging business problems.  

Amazon Web Services

Advanced Consulting PartnerPartner of the Year 2019: Data, Analytics & Machine Learning

Amazon Web Services, the leading cloud provider, gives customers a highly reliable, scalable, low-cost infrastructure platform in the cloud that can be used for data storage, processing, and analysis  


Professional Tier Partner
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.



Tableau Software helps people see and understand data. Offering a revolutionary new approach to business intelligence, Tableau allows you to quickly connect, visualize, and share data with a seamless experience. 


Gold Partner

InfluxData is the creator of the leading open-source time-series database that is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers, and computers. 

Ultra Commerce


Ultra Commerce offers a wide range of solutions from a full end to end eCommerce platform to managed services. They help organisations deliver new online experiences to their customers first. 



Talend is a leader in cloud data integration and data integrity enables companies to transform by delivering trusted data at the speed of business.