
Adam Dimeski
Graduate Software Engineer

As part of the VLC software engineering team, Adam provides technical experience and support to Planwisely and spatial data products and assisting with product development.
Adam has experience in data analytics with a focus in machine learning applications, including co-authoring a paper for applying natural language processing in the mining sector, published at COLING 2022, an international conference for computational linguistics. Adam has a Bachelor of Engineering (Mechatronics) from the University of Queensland.