Dennis Mellican – ML Ops Architect at Datarwe
Let’s keep the Datarwe Staff Introduction going! Today, we are meeting with Datarwe’s ML Ops Architect, Dennis Mellican.
Datarwe uses high-quality, real world data to design analytics platforms and tools that accelerates AI model development and improves research and medical outcomes in the healthcare space.
What is your title, and can you tell me a little about your role at Datarwe?
My title is ML Ops Architect. I am responsible for ensuring the data scientists and researchers are technologically resourced to perform their machine learning models efficiently and effectively. I also wear many other IT hats.
How long have you been part of the Datarwe’s adventure?
It has been 6 months! Feels longer. Time in start-ups is like dog years. Experience is accelerated, but I still age gracefully.
What inspired you to work in IT for the healthcare industry?
I had great leadership at Oracle when I was part of their Healthcare application development team. The same leader brought me into the largest Healthcare company in the USA and then into a successful Healthcare AI start-up in Silicon Valley.
What are 3 words to describe Datarwe?
Cutting-edge. Dynamic. Awesomeness.
What is your favourite thing about working at Datarwe?
The leaders are inspirational and Datarwe has some of the brightest minds working for them. Everyone is approachable.
Is there a project in Datarwe that you are/were proud of being part of?
Helping many of the University researchers & students with their assigned Datarwe projects. These bright young minds give me confidence our sector is well positioned globally.
How do you think AI has transformed the healthcare sector and what innovations do you think AI will help achieve in the future?
The large datasets that the Healthcare sector possess were always leveraged by IT systems to provide better insights and outcomes. Previously it was crude regex searches and algorithms that parsed the data. Nowadays, Machine Learning models and AI have replaced those methods and can focus on edge cases. Those continuous improvements accelerate research and clinical decisions to ultimately provide better patient outcomes. Keep watching this space!
What are your hopes for our industry?
For users to attain high trust in data and AI capabilities that ultimately provide continuous improvement of all aspects of healthcare outcomes.
What would be an alternative career path?
An Architect. It was my first choice on my tertiary application (formerly called QTAC). Fate chose computing for me. Well, I do have “architect” in my job title.
What do you like to do when you aren’t working?
You’ll find me training at Kangaroo Point Cliffs in Brisbane most Thursday nights and on some weekends rock climbing, canyoning or hiking around Southeast Queensland.
What’s Number 1 on your bucket list?
Climb the Half Dome in Yosemite.
The Datarwe data science team at Cohort’s lab in Gold Coast
ML Ops Architect