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Work Experience
Software Engineer
Graymatics• October 2020 - Present
• Engineered cutting edge algorithms based on Computer Vision • Integrate Deep Learning models and its parameters with inference algorithms • Deploy Deep Learning models to be used in classification or detection into algorithms based on requirements of projects as a microservice for easy utilization using MQ • Build lightweight Docker images to be orchestrated and utilized • Make further optimizations upon AI-based Video Analytics, Machine Vision and Data by implementing a plethora of concepts, such as: pre/post-processing, frame manipulation, background subtraction, tracking
Sales Engineer
Taknet Systems• November 2019 - October 2020
• Undertook an Internal side project to explore opportunities in AI (Artificial Intelligence), specifically Machine Learning while widening my knowledge in it • Responsible for the range of server types which includes enterprise-grade workstations and GPU (with CUDA installation and various CUDA libraries e.g. cuDNN) servers • Strong knowledge on Linux and software related to servers
Education
Royal Melbourne Institute of Technology, Melbourne
Information Technology, BE• February 2011 - April 2014
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