Founder & CEO at Great Monkey Lab

Founded an AI consulting and automation practice delivering applied AI projects for clients in healthcare and energy sectors. Designed and developed structured online learning experiences to support AI capability-building for early-career and transitioning professionals. Integrated applied AI knowledge into learning content and practice systems, bridging technical concepts with real-world use cases. Managed end-to-end project delivery with cross-functional contributors, including planning, stakeholder communication, and iterative improvement.

AI Department Lead (AJ Stack + Stacked Learning) at AJ Stack Solutions

Led the design and delivery of applied AI systems for engineering education, integrating data pipelines, model experimentation and evaluation workflows. Provided technical leadership for the development of large language model–based retrieval systems, supporting reliable access to complex engineering knowledge. Translated advanced AI concepts and system behaviour to senior stakeholders, supporting informed decision-making and project direction. Built monitoring and evaluation tools to track model performance and guide iterative improvement of deployed systems. Coordinated cross-functional collaboration across AI, frontend and AR teams to prototype interactive, AI-driven learning and knowledge interfaces. Mentored and guided a team of three interns across backend and AR workstreams, clarifying project scope, unblocking technical challenges, and supporting delivery through regular hands-on collaboration. Supported operational delivery planning by aligning technical milestones with educ

Volunteer in Tech & Partnerships at MLAI (Machine Learning & Artificial Intelligence Australia)

Supported the design of AI-based simulation tools for educational hackathons, generating realistic synthetic data and user behaviour scenarios. Developed and refined multi-agent conversational models to enable interactive, learning-oriented AI challenges. Collaborated with engineers and organisers to define evaluation metrics, prompt structures and scoring criteria for applied AI problem settings. Contributed technical and pedagogical input to initiatives connecting universities, startups and applied-AI communities.

Data Scientist at Swan Foresight

Developed an anomaly detection platform combining statistical modelling and machine learning techniques for energy systems, reducing fault detection time by over 80%. Implemented and evaluated classification and time-series models on operational datasets, achieving reliable performance in real-world conditions. Built data pipelines for continuous data collection, validation, preprocessing and feature extraction from sensor streams. Analysed system and network-level data to identify abnormal patterns, supporting system reliability and risk awareness.

Casual ICT Teacher at Monash College

Approved through institutional recruitment process to teach ICT Foundation subjects. Supported student learning in foundational computing concepts in alignment with Monash College teaching standards.

AI Lecturer at CPU Education

Designed and delivered advanced data science curriculum from scratch within a 24-hour turnaround, including session structure, weekly scheduling, and student-facing communications. Taught postgraduate cohorts in high-dimensional data and advanced analytical techniques. Managed end-to-end course logistics including timetabling and student communication.

IT Lecturer at WeiXue Education

Delivered fully online unit teaching across Artificial Intelligence, programming and database fundamentals for international undergraduate and postgraduate cohorts. Coordinated weekly live classes and guided learning activities to maintain consistent delivery quality and student support. Assessed coursework and projects using clear academic standards, providing timely and detailed feedback to support progression. Provided one-to-one academic mentoring for independent projects, helping students frame problems and translate theory into practice.