I am a PhD-trained AI engineer and analyst who designs and deploys ML pipelines for biomedical imaging, with a strong emphasis on robustness, bias awareness, and secure data handling. I am actively exploring LLM-based prototypes for clinical use cases and advocate for trusted, ethical AI, including adversarial testing and red-teaming.
I’m a fast, adaptable learner who thrives on collaboration—rapidly picking up Python, SQL, and cloud platforms (Azure and AWS) to deliver real-world impact. I enjoy translating complex technical insights into actionable solutions, collaborating with clinicians and engineers, and sharing knowledge through publications and conferences. I’ve published seven first-author papers, presented at nine international venues, and lead cross-functional projects to co-design practical technical solutions.
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