Aditi Jain

About Aditi Jain

Final year AI/ML student at Manipal University Jaipur, genuinely curious about how machine learning can solve problems that actually matter. I find myself most engaged when working on something that sits right at the edge of technically challenging and practically useful.I have been exploring data analytics and ML over the past year and like working with people, asking questions, and figuring things out collaboratively.Open to opportunities where the work is ambitious, the team thinks independently, and there\'s room to grow without a ceiling.

Experience

1. Ml Intern

   Mlhealth 360

   Sep 2025 — Present · Jaipur, IN

   Working at the intersection of deep learning and clinical radiology, I develop AI-driven diagnostic solutions across the full ML pipeline — from data acquisition to deployment.I collaborate closely with radiologists for data annotation and report generation, ensuring clinically accurate labels for brain CT scans covering pathologies like hemorrhages, infarcts, and tumors. This clinician-in-the-loop workflow has been central to building reliable training data.On the research side, I have benchmarked multiple deep learning architectures for medical image segmentation across different modalities, with ongoing work on neuroimaging data.Currently building an automated brain CT report classification system that extracts structured findings from radiology reports at scale and maps them to severity-tiered diagnostic labels using large language models — taxonomy designed in direct consultation with radiologists.

Education

• Manipal University Jaipur

  Bachelor of Technology - BTech, Computer science

  2022 — 2026