Alen K.

Key Skills

Software

Other

Top Subject Matter

Cardiac MRI/CT radiology reporting and AI-assisted clinical annotation

Radiology report annotation

clinical findings extraction

Top Data Types

Image

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Radiologist (AI-assisted reporting workflow development) | Institute of Radiology, Nuclear Medicine and Molecular Imagin. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Personal Projects: CardioRadio / RadVentura (AI-assisted radiology reporting tools)

Personal AI development projects include building tools that support AI-assisted radiology reporting and structured workflow interfaces. The work integrates OpenAI APIs and designs structured reporting UI components to help generate and manage radiology findings in a consistent format. These activities support creation of datasets and labeling-ready structures through standardized reporting workflows and automated measurement pipelines. • Development of AI-assisted radiology reporting concepts using React, Supabase, and OpenAI APIs • Design of structured reporting interfaces and workflow optimization tools • Exploration of voice dictation integration for automated cardiac MRI volumetry workflows • Use of deployment workflows (Vercel) to operationalize AI-assisted reporting features

2026 - Present

Radiologist (AI-assisted reporting workflow development) | Institute of Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center NRW (HDZ NRW)

OtherPrompt + Response Writing (SFT)

In this role, the work involves AI-assisted reporting concepts that require generating, refining, and evaluating structured radiology outputs for clinical use. Responsibilities include developing workflow automation tools and supporting interdisciplinary review to improve consistency and quality of AI-generated medical documentation. The activities align with training-like quality control of AI outputs and creating structured templates that can support downstream AI labeling or fine-tuning. • Development of AI-assisted reporting concepts and workflow automation tools • Structured reporting workflow development in German and English • Participation in interdisciplinary cardiac and surgical case discussions for validation • Emphasis on cardiovascular imaging workflows (e.g., mapping and perfusion imaging)

2026 - Present

AI Medical Annotation & Prompt Engineering (clinical prompt engineering, AI report review, annotation validation)

The AI medical annotation and prompt engineering experience focuses on reviewing and correcting AI-generated radiology reports and validating diagnostic reasoning. The work includes structured extraction and refinement of clinical imaging findings and using clinical prompts for multimodal AI systems. These tasks function as human-in-the-loop quality review and preparation of labeled/structured outputs that can support medical AI training and evaluation. • Review and correction of AI-generated radiology reports • Medical image annotation and diagnostic reasoning validation • Structured extraction and refinement of clinical imaging findings • Clinical prompt engineering for multimodal AI systems

2019 - Present

Education

Work History