AI, Predictive Modelling & Classifier Development

My Background

Benefit from my strong foundation in machine learning, I have worked in the Australian National University, and CSIRO, designing AI-driven solutions for complex challenges—ranging from mineral classification, predictive maintenance and anomaly detection to advanced applications in agricultural and industrial domains. I also completed a PhD in using machine learning to detect human emotional states from physiological signal data.

What I Offer

I develop AI-driven solutions for predictive modelling, classifier development and computer vision. With expertise in Python, C++, CUDA, and deep learning frameworks, I create high-performance AI models tailored to complex scientific, industrial, and business applications.

Expertise in AI & Predictive Modelling

I have extensive experience across multiple domains, including:

  • Neural Networks & Deep Learning – Using PyTorch, TensorFlow, and CUDA-accelerated frameworks to design custom AI models for real-time applications.
  • Classical Machine Learning – Implementing algorithms such as SVMs, decision trees, kNN, and random forests for structured data classification and regression.
  • Time-Series & Anomaly Detection – Developing predictive maintenance systems, and fault detection algorithms, building upon my PhD research in biosignal processing..
  • Computer Vision-Based AI – Training object detection, segmentation, and feature extraction models for industrial automation and scientific research.
  • Real-Time & Embedded AI Solutions – Deploying machine learning models to edge devices, robotics, and embedded systems for on-device inference.

Custom Classifier Development

I specialise in developing highly optimised classifiers that extract meaning from complex datasets. My services include:

  • Feature Engineering & Selection – Identifying the most relevant data attributes to improve model accuracy and efficiency.
  • Model Training & Tuning – Building and refining models to achieve high accuracy and reliability.

What I Don’t Do

  • Military applications
  • Miming of covertly collected data.

Who I Work With

  • Research institutions and R&D teams
  • Industrial and scientific software developers
  • AI and data science teams in scientific domains
  • Engineering and modelling specialists
  • Agtech firms

Why Work With Me?

  • Hands-on expertise in AI, deep learning, and signal processing.
  • Experience deploying AI on HPC clusters, embedded systems, and cloud environments.
  • A pragmatic, results-driven approach focused on solving real-world problems.

If you need custom AI solutions, predictive modelling, or classifier development, let’s collaborate to build intelligent, data-driven systems that deliver measurable impact.