Opeyemi Bamigbade

Opeyemi Bamigbade

AI/ML Engineer · PhD Researcher

Ireland
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

  1. Developed Semantic View Induction for Object-Guided Scene Structuring.
  2. Developed VAAS: Vision Attention Anomaly Scoring for image-manipulation detection.
  3. Explored how auxiliary features can improve embedding separability in computer vision.
  4. Mapped the field with a systematic review of computer vision for multimedia geolocation.
  5. Started PhD research in computer vision at South East Technological University.
Publications

AI/ML Engineering

  1. Built a model-serving library, AI workflow automation, and a GPU inference stack.
  2. Insurance-claims automation at Curacel, improving claims throughput by 9%.
  3. Eligibility scoring and recommendation workflows at Philanthrolab.
  4. Machine-learning applications in healthcare at Clinify.
  5. Applied ML and NLP systems at Data Science Nigeria.
Engineering experience

Writing

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.

Let’s talk

Open to AI engineering and research engineering roles, consulting, and thoughtful collaborations.