Mutiny Brings On Leading Machine Learning Expert As Business Expands
Mutiny, the predictive marketing consultancy and tech startup, has appointed Dr Seyed Lajevardi as lead machine learning engineer.
The move comes with the expansion of its technology capability and growth of its engineering team.
Mutiny uses AI, deep learning and predictive analysis to inform every solution for its clients.
Their unique proposition and focus is not just on the data or the technology, but how they can find a better way to leverage both through artificial and human intelligence.
Lajevardi will help lead the development of this, driving Mutiny’s deep learning capability.
He brings a wealth of machine learning experience backed by deep academic credentials, including a PhD in image processing, pattern recognition and computer vision.
He is a leading and innovative data scientist with rich experience across deep learning, data governance, data structuring and requirements.
Prior to joining Mutiny, Lajevardi led the development of machine learning systems to identify complicated manufacturing defects at SCOTT.
Regarded as a leading expert in machine learning, Lajevardi was also a lecturer at RMIT University, and has over 20 published papers to his name.
He will report to chief strategy officer Henry Innis, working with a strong development team.
Mutiny CEO, Matt Farrugia said: “What we do for our clients at Mutiny is leading edge and this requires best in class talent and new ways of working.
“Dr Lajevardi is exactly the type of top talent we continue to attract – smart, passionate and brilliant at what he does, he brings an innovative and rigorous perspective to our industry.”
He added: “His rich experience will support the accelerated development of our predictive marketing platform and help us achieve our vision of delivering value creation through the power of predictive marketing.”
Lajevardi said: “I am excited to join Mutiny and begin developing on their unique Mutiny Helm IP.
“It is a chance to apply exciting, cutting-edge machine learning and deep learning techniques to client datasets.
“This is ground breaking for marketing and something that smart clients will see as delivering a competitive edge.”
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