Daiyan Khan

Software Engineering (Honours) student with an 83 WAM and hands-on experience building production full-stack, applied machine-learning and cloud-native systems. Developed and deployed a live sports-technology platform, built an applied-AI research data portal, and engineered Kubernetes/Prometheus fault-remediation experiments. Strong foundation in software design, REST APIs, distributed systems, data pipelines, automated testing, CI/CD and Agile delivery.

Software Engineering Intern (High Achievers Internship) at Deakin Applied Artificial Intelligence Initiative (A2I2) (2025-11 – 2026-01)

Served as the primary developer for a researcher-facing portal that improved discovery, filtering and access to structured DFT and AIMD materials-simulation datasets. Built full-stack functionality spanning user interfaces, backend services, authentication, data-access workflows and deployment preparation while integrating organised scientific datasets. Translated researcher requirements into application features and managed iterative delivery through GitHub version control, issue tracking and stakeholder reviews.

Software and AI Research Intern at Deakin University (2024-11 – 2025-02)

Associate Dean Summer Research Project

• Developed an Android application in Kotlin and Jetpack Compose using QR-code task validation and automated process logging to reduce manual verification risk and improve traceability.
• Integrated real-time environmental and device telemetry with predictive-maintenance workflows for operational monitoring and data-driven fault detection.
• Converted the prototype and evaluation into a peer-reviewed manuscript currently under review with a Springer journal.

Bachelor of Software Engineering (Honours) in Software Engineering – Deakin University (2023-03 – 2026-11)