Peter Tran

Software Engineer @ UNSW | RMIT Economics & Finance Graduate (High Distinction) | Casual Academic & Research Assistant @ CSE UNSW | Adv. CS (Honours) Student @ UNSW

Condell Park, New South Wales, Australia

About

At UNSW, our team's focus is on pioneering AI-powered tools to enhance solar PV operations and maintenance. In my dual role as a Junior Software Engineer and Research Assistant, I've led the creation of a conversational AI web platform, leveraging React and cutting-edge AI for a seamless user interface. My commitment as a Casual Academic at UNSW CSE involves imparting practical software engineering knowledge and human-computer interaction techniques.

Experience

  • UNSW Computer Science and Engineering (Sydney, NSW)
    • Research Assistant
      Sep 2025 - Present · 10 mos

      Supervisor : Dr Rachid Hamadi Project title: Process Mining for Curricular Pathway Analysis: A Case Study Using UNSW’s Master of Information Technology Program and Celonis

    • Casual Academic
      Sep 2024 - Present · 1 yr 10 mos

      COMP1531 - Software Engineering Fundamental COMP3[9]511 - Human Computer Interaction COMP3[9]900 - Computer Science Project COMP9820 - Software Project Management COMP9021 - Principle of Programming DATA5925 - Data Science & Decision - group marker

  • UNSW (1 yr 8 mos)
    • Junior Software Engineer
      Apr 2025 - Present · 1 yr 3 mos

    • Researcher
      Nov 2024 - Apr 2025 · 6 mos

      • Led the design and development of an advanced MVP product integrating a conversational AI-driven web platform to streamline Operations and Maintenance (O&M) tasks in solar photovoltaic (PV) plants. The front-end was built using React to ensure a scalable, user-friendly, and responsive interface, while AI technologies were employed on the back-end to process inputs and generate intelligent, real-time responses. • The platform supports flexible input methods, including voice commands and manual text input, providing an intuitive user experience that enhances decision-making efficiency. By facilitating seamless scheduling and real-time communication between technical personnel and robotic systems, the solution optimizes critical O&M processes, improving overall plant performance and operational effectiveness.

  • Software Engineer at P2AgentX
    Apr 2025 - Present · 1 yr 3 mos

  • Casual Academic at RMIT University
    Jun 2015 - Jun 2016 · 1 yr 1 mo