About Me
I am a Process and AI Engineer who bridges the gap between traditional systems optimization and modern AI development. With a core foundation in plant operations and data analytics, I possess a deep understanding of complex process flows that allows me to systematically capture raw workflow information, translating operational data into scalable continuous improvement initiatives.
Building upon this industrial background, I integrate strong capabilities in data engineering and AI development to architect end-to-end digital solutions and product engineering with business applications. Ultimately, whether I am developing intelligent business tools, orchestrating AI workflows, or optimizing physical processes, my focus remains on delivering reliable, high-performance solutions that solve real-world problems.
My Path with Engineering & Data
Senior Plant Engineer
- Engineering & Project Execution: Lead end-to-end design, planning, and commissioning of plant utility systems (boilers, chillers, compressed air, process water, etc.), overseeing procurement, installation, and testing to ensure systems meet regulatory standards and project timelines.
- Energy Management & Operational Readiness: Drive energy-saving initiatives, establish preventive maintenance plans and SOPs, and train operations teams to ensure efficient, reliable day-to-day running of all utility systems.
- Post-Commissioning Optimization: Continuously analyze system performance data to identify inefficiencies, reduce downtime, and implement improvements aligned with Kaizen/continuous improvement practices.
Mentor & Technical Facilitator
Feb 2024 - Aug 2024- Facilitated accountability sessions to support student progress, project execution, and learning outcomes.
- Assisted in the creation and refinement of educational projects, technical assignments, and course materials.
- Provided technical mentorship and answered student questions relating to study schedule, projects, and related tasks through Discord.
- Conducted project reviews and provided guidance on problem-solving approaches, technical implementation, and presentation preparation.
- Attended weekly team meetings to discuss student progress, curriculum improvements, project planning, and program initiatives.
- Collaborated with students on real-world data and AI projects, providing hands-on support throughout the project lifecycle.
AI Developer, UIUX Designer & Web Developer
Jun 2024 - Aug 2024Selected Project: AI-Powered GitHub Repository Analyzer
- Collaborated with a student team to design and develop a Shiny-based web application for automated GitHub repository analysis.
- Developed interactive user interfaces and data visualizations to communicate repository metrics and AI-generated insights.
- Integrated GitHub API workflows to retrieve and process repository data for downstream analysis.
- Implemented LLM-powered repository analysis using embeddings, prompt engineering, and model evaluation techniques.
- Tested and optimized multiple language models to improve response quality, efficiency, and user experience.
- Presented project outcomes and technical demonstrations to the learning cohort and industry stakeholders at POSIT.
Data Analyst
Aug 2023- Operational Metrics Analysis: Examined patient volume, retention, and revenue trends to surface meaningful performance insights.
- Patient Segmentation: Identified high-value patient segments and assessed their relative impact on overall revenue.
- Revenue Optimization: Delivered actionable recommendations to improve patient engagement as part of a pro-bono project within the Lonely Octopus programme.
Process Engineer
- Safety & Risk Management: Support P&S operations to minimise risks to employees and contractors, and manage environmental incidents by containing risks and identifying root causes and contributing factors.
- Operational Delivery & Inventory Control: Ensure plant configuration, personnel, and operations consistently meet customer deliverables, while maintaining optimum inventory levels of critical parts, spares, and consumables.
- Team Engagement & Continuous Improvement: Drive employee participation in daily morning meetings and improvement initiatives, including projects targeting KPI gains such as fuel efficiency reduction.
- Shutdown Planning & Budget Forecasting: Contribute to major shutdown planning and budget preparation, as well as forward financial forecasting (e.g. monitoring commodity markets to anticipate utility cost movements).
Graduate Process Engineer
- Production Monitoring & Cost Optimisation: Oversaw production improvement targets, cost-saving initiatives, and utility/raw material consumption tracking to drive operational efficiency.
- Data Analysis & Process Improvement: Compiled, calculated, and analysed process data to evaluate performance, identify improvement opportunities, and carry out structured troubleshooting.
- Trial Planning & Financial Simulation: Planned and conducted process improvement trials, and modelled cost and savings projections to assess the financial viability of proposed process changes.
Skills & Education
Education
Bachelor of Chemical Engineering (Honours)
University of Adelaide - Graduated 2019
Engineering & Data
- Process Optimisation & Continuous Improvement Initiatives
- LLM Orchestration(Gemini, OpenAI, RAG) & Data Engineering
- Data Visualisation & Storytelling
- Asset Reliability & Root Cause Analysis
Technical Stack
Python
Flask
SQL
JavaScript
HTML5
CSS3
Power BI