Rahul Paul, PhD

Team Lead AI and ML| Computer Vision Leader | MLOps | AWS | Machine Learning Engineer | Cloud Architect | Researcher (PhD) in Machine Learning, Algorithms and Optimisation

Melbourne, Victoria, Australia

About

A Ph.D. qualified AI and Data Science leader with a proven industry track record of building successful data science teams and practices. I have demonstrated experience highlighting my adaptability, self-motivation, and responsiveness to changing research priorities. I have demonstrated experience working autonomously and effectively within teams. I have also completed leadership learning to become better at leading a team and collaborating with the team. I have exceptional leadership experience in delivering multiple AI projects from proof of concept design and implementation to production and making it operational in different disciplines such as LiDAR, utilities, energy, computer Vision, Predictive Analytics, and retail. I lead and coach a team of data scientists, data analysts, and data engineers in an agile environment to deliver valuable insights via data analytics, Computer vision advanced data-driven methods, and novel Machine Learning techniques. I have also hands-on experience in professionally using data analytics tools such as Python, R, SQL, and Matlab to build and deliver practical Machine Learning and AI products from a diverse range of big data including transactions, GIS, LiDAR, and many more. I have MLOps experience with AWS s3, Sagemaker, and Lambda functions. I have also experience with the latest DL/ML frameworks like Tensorflow, and Pytorch. I have gained analytical skills in my Ph.D. program working on mathematical modeling of neural networks and predictive analysis of the movement of Point cloud data. I have demonstrated skills in communicating complex concepts and providing guidance and support to peers and customers developed through teaching graduate-level courses at universities such as Probability and Random Models, Linear Algebra, Neural Networks, Computer Graphics and Operating Systems. Data Science Lead Predictive Analytics Algorithms Computer Vision Deep Learning Transformers Graph Neural Network Yolo MLOPs Sagemaker AWS Team building Data Science Roadmap Data Science Strategy People Leadership Agile Stakeholder engagement Out-of-box thinking Problem-solving Strategic mindset Advanced analytics Digital Innovation AI | Machine Learning Python | R | C++ | Tableau SQL Mathematical Modelling Predictive modeling Optimization Timeseries Analysis Neural Networks Decision Trees Clustering Regression Analysis Probability distributions and hypothesis testing Computer Science

Experience

  • Staff AI Engineer (Technical Lead) at Future Secure AI
    Jan 2026 - Present · 7 mos

    Lead an Generative AI and Data science team.

  • Co-Founder and Director at DeepDatastream Pty Ltd
    Aug 2025 - Present · 1 yr

    Founder | Product Startup (Independent, Non-Competing)

  • CitiPower and Powercor (6 yrs 10 mos)
    • Team Lead ML and AI - RnD
      Sep 2019 - Dec 2025 · 6 yrs 4 mos

    • Data Scientist - Computer Vision Specialist , LiDAR Lab (LiDAR and Point Cloud)
      Mar 2019 - Sep 2019 · 7 mos

  • Data Scientist at KPMG Australia
    May 2018 - Feb 2019 · 10 mos

  • University of Newcastle (4 yrs)
    • PHD Scholar in Machine Learning and Optimization
      Nov 2014 - Oct 2018 · 4 yrs

    • Research Teaching Assistant - Machine Intelligence
      Feb 2017 - May 2017 · 4 mos

    • Research Teaching Assistant - Machine Intelligence
      Feb 2016 - May 2016 · 4 mos