Gaurav SinghGaurav Singh

Varsity Lakes, Australiahi@gvsh.cc LinkedIn GitHub Google Scholar ORCID

Professional profile

Software developer and designer with expertise in human-centred design and experience design, and a background spanning engineering and design schools. Build payment systems in C#/.NET and TypeScript/Vue, alongside published applied-ML research. Previously headed the M.Des Design Computation programme at Srishti Manipal Institute and led development of an agricultural traceability demonstrator.

Engineering and design skills

Software engineering: C#/.NET, TypeScript, Vue, React, Node.js/Express, Python/Flask, REST APIs and SQL.

Design: human-centred design, experience design, interaction design, physical computing and human-computer interaction; guiding designers from brief interpretation through delivery.

Testing and delivery: automated testing, Docker, Linux, Git, GitHub Actions and Azure DevOps.

ML experimentation: PyTorch, PyTorch Lightning and scikit-learn; Optuna for hyperparameter optimisation and Weights & Biases for experiment tracking.

Experience

2025–present
Software Developer, Pay Advantage, Australia
- Develop payment-platform software covering recurring billing, direct debit, subscriptions, bank-account runs, card payments, hosted payment pages, and API integrations.
- Work with C#, .NET, TypeScript, Vue, Azure DevOps, and REST APIs.

Selected projects

AATP: agricultural traceability demonstrator

2024

Master’s project, Griffith University · Supervised by the team at Anonyome Labs

Led development and built the complete demonstrator using Python/Flask, VON Network and ACA-Py, integrating digital identity wallets, credential schemas and web and command-line interfaces.
Linked production, packaging and transport credentials by product ID for traceability; debugged agent–ledger connectivity and Indy/OpenSSL dependencies across macOS, Ubuntu and Docker.

Machine learning for auxetic deformation

Published 2025

Co-developed a workflow combining finite-element simulation data, K-means image labelling and logistic regression to automate deformation-mode detection in re-entrant honeycomb structures.
Detected four of six deformation modes in the study, establishing the method’s demonstrated scope. Published in International Journal of Protective Structures.

Heavy-transport decarbonisation modelling

Published 2026

Co-developed a framework linking Australian emissions accounting and fleet-transition economics with nonlinear technology-cost learning and grid decarbonisation.
Evaluated emissions, ownership costs and ROI across 270 scenarios over 25 years. Sensitivity analysis identified diesel price, electricity price and utilisation as dominant economic drivers.

Earlier experience

2017–2022
Faculty Member and Researcher, Srishti Manipal Institute, Bangalore, India
- Headed the Master of Design in Design Computation.
- Set up the Experimental Maths Lab.
- Taught interaction design and human-computer interaction alongside programming, algorithms, machine learning and physical computing.
2018–2022
Design Copilot (Part-time), Topcoder, Remote
Ran design challenges for Fortune 500 clients and guided distributed groups of designers from brief interpretation through final delivery, after several years competing on the platform.

Education

2023–2025
Master of Information Technology
Griffith University, Gold Coast, Australia; GPA 6.31/7
Thesis: “Enhancing Climate Forecasting with Advanced Generative Models for Synthetic AQI Data”, supervised by Dr. Elizabeth Chang.
2013–2015
Advanced Diploma, Innovation & Experience Design
Srishti Institute of Art, Design and Technology, Bangalore, India
2008–2012
B.Tech, Computer Science & Engineering
JNTU Anantapur, India; First Class with Distinction

Selected publications

A Framework for Visual-Mathematical Literacy in Applied Machine Learning: Why Representation Choices Shape What Models Can Learn. G. Singh, R. S. Dhari. Machine Learning: Engineering, 2026. doi:https://doi.org/10.1088/3049-4761/ae7df3

Techno-Economic Pathways Modeling and Nonlinear Optimized SEEA-ROI Longitudinal Dynamic Simulation for Decarbonizing Australian Heavy Transportation Systems. G. Singh, E. Chang, Y. Karaca. Fractals, 2026. doi:https://doi.org/10.1142/S0218348X26400633

Automated detection of deformation mechanisms in re-entrant honeycomb auxetics using machine learning. G. Singh, R. S. Dhari, Z. Javanbakht. International Journal of Protective Structures, 2025. doi:https://doi.org/10.1177/20414196241281069

ReRide: A Bike Area Network for Embodied Self-monitoring during Motorbike Commute. N. Bagalkot, G. Singh, V. Rath, T. Sokoler, A. Shukla. TEI 2019, 443-450, 2019. doi:https://doi.org/10.1145/3294109.3300986

Selected recognition

2024
Griffith Award for Academic Excellence (Griffith University)
2024
STEM Professional Gold Achievement (Griffith University)
2017
Topcoder Open Design Champion (India Regionals)