Solvin Kang is a Data Science Engineering student at UTS with experience in machine learning, computer vision, speech recognition and applied AI development.
I am a Data Science Engineering student with experience developing and evaluating machine-learning systems across computer vision, speech recognition and data analytics.
My industry experience has also strengthened my ability to gather requirements, test technical assumptions and translate prototypes into practical improvements for clients.
Conduct daily stock audits and reworks, analyse replenishment patterns and communicate updates in weekly team meetings to support department coordination.
A multi-task computer vision pipeline combining ResNet-18 classification with U-Net segmentation to recognise fruit types and localise spoilage.
An interactive web application that compares liveability across the City of Sydney. Users can adjust accessibility, greenery, recreation and alcohol-free-zone priorities to recalculate scores and explore the results on a dynamic map.
A Tableau analysis of Australian import and export data from 1989 to 2024. The work examined long-term shifts, outliers and energy-sector trends, with a focused analysis of coal, petroleum and natural gas trade.
A medical imaging project using U-Net to segment signs of COVID-19 lung infection in X-rays, with augmentation and transfer learning used to address a small dataset.
A focused toolkit for machine learning, data analysis and applied AI.
Deep learning · Computer vision · Transfer learning · Model evaluation · Speech recognition
Python · SQL · Kotlin
PyTorch · Scikit-learn · OpenCV · Pandas · NumPy · Sherpa-ONNX
Power BI · Tableau · Azure · CVAT · Jupyter · Git · Android Studio · Gemma 3
UniversityBachelor of Engineering (Honours) · Major in Data Science
February 2023 — PresentI am open to graduate and internship opportunities across data science, machine learning and related technology roles.
solvinkang@gmail.com