Open to AI Engineering || Research Engineering Roles
Why AI research and engineering
I build AI systems to create value, and I love seeing engineering turn ideas into outcomes. But what happens when a system has given all the value that optimisation alone can unlock? That is where research becomes my next lens: a way to question what the model is doing and find new directions for the system to create value. Research and engineering keep each other honest, grounded in real-world constraints and curious about what is still possible.
PhD Research
Developed Semantic View Induction for Object-Guided Scene Structuring.
Developed VAAS: Vision Attention Anomaly Scoring for image-manipulation detection.
Explored how auxiliary features can improve embedding separability in computer vision.
Mapped the field with a systematic review of computer vision for multimedia geolocation.
Started PhD research in computer vision at South East Technological University.
I enjoy writing as a way to connect research and engineering: sharing what works, the decisions behind it, and what each world can learn from the other.