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

Kossan Engineering 2025 - 2026

Senior Plant Engineer

  • Engineering & Project Execution: Lead design, procurement, and commissioning of plant utility systems (boilers, chillers, compressed air, process water), ensuring regulatory compliance and on-time delivery.
  • Energy & Operational Readiness: Drive energy-saving initiatives, establish preventive maintenance SOPs, and train operations teams for reliable day-to-day running.
  • Post-Commissioning Optimization: Analyze system performance data to identify inefficiencies and implement Kaizen-based improvements that reduce downtime.
Lonely Octopus 2023 - 2024

Mentor & Technical Facilitator

Feb 2024 - Aug 2024
  • Facilitated accountability sessions and project reviews, providing technical mentorship on real-world data and AI projects via Discord.
  • Assisted in creating and refining educational projects, technical assignments, and course materials.
  • Attended weekly team meetings to discuss student progress, curriculum improvements, and program initiatives.

AI Developer, UIUX Designer & Web Developer

Jun 2024 - Aug 2024
Selected Project: AI-Powered GitHub Repository Analyzer
  • Collaborated with a student team to design and develop a Shiny-based web app for automated GitHub repository analysis, integrating GitHub API workflows.
  • Implemented LLM-powered analysis using embeddings, prompt engineering, and model evaluation to improve response quality and efficiency.
  • Built interactive UI/data visualizations and presented outcomes to the cohort and industry stakeholders at POSIT.

Data Analyst

Aug 2023
  • Examined patient volume, retention, and revenue trends to identify high-value segments and surface performance insights.
  • Delivered actionable recommendations to improve patient engagement as part of a pro-bono project.
Liberty Primary Steel 2022 - 2024

Process Engineer

  • Safety & Risk Management: Supported P&S operations to minimise risk, managing environmental incidents and identifying root causes and contributing factors.
  • Operational Delivery & Inventory Control: Ensured plant configuration, personnel, and operations consistently met customer deliverables while maintaining optimum inventory levels.
  • Continuous Improvement & Planning: Drove KPI-focused initiatives (e.g. fuel efficiency) and contributed to shutdown planning and budget forecasting.
Amsteel Mills 2020 - 2022

Graduate Process Engineer

  • Production Monitoring & Cost Optimisation: Oversaw production improvement targets and tracked utility/raw material consumption to drive operational efficiency.
  • Data Analysis & Process Improvement: Compiled and analysed process data to evaluate performance and identify improvement opportunities.
  • Trial Planning & Financial Simulation: Planned process improvement trials and modelled cost/savings projections to assess financial viability.

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