Ibrahim Bashir

During my 3rd year at Imperial College London, I spent April–September 2023 as a Software Engineer at Aival, a London-based start-up focused on independent AI quality assurance for healthcare, helping hospitals evaluate and monitor AI products on their own data so they can adopt safe, effective tools with confidence. I worked on two core pieces of the platform: 1️⃣ PDF evaluation reports I built a PDF export pipeline in TypeScript for Aival’s AI validation product. The feature turned complex AI evaluation results (performance, fairness, robustness and explainability metrics) into a clear, shareable report that clinical, technical and management stakeholders could all understand. This meant: - Designing the report structure and layout - Integrating it with the existing evaluation workflows - Ensuring reports were reliable, readable and ready to be used in real decision-making around AI procurement. 2️⃣ DICOM labelling tool I also developed a labelling tool using TypeScript and Node.js that allowed clients to label DICOM medical images more easily. These labelled datasets were then used to validate AI vendors’ models on real-world hospital data, contributing directly to safer, more trustworthy AI in radiology. Across both projects, I: - Worked end-to-end across the stack (from backend logic to user-facing behaviour) - Collaborated with a small, multidisciplinary team combining engineers, clinicians and AI researchers - Gained hands-on experience in AI evaluation, medical imaging workflows and product-focused engineering in a safety-critical domain. Grateful to the Aival team for the opportunity and mentorship — and excited to keep building tools that make AI safer and more useful in the real world*. 🙌 (If anyone’s interested in healthcare AI validation or trustworthy AI in practice, I’m always happy to chat!)