Aneesh Rangnekar
Research Fellow at Memorial Sloan Kettering Cancer Center
New York, New York, United States
Summary
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Senior🎓
Top SchoolAneesh Rangnekar is a research fellow in New York with nine years of experience building safe, reliable vision and multimodal models for medical imaging and related domains. He specializes in self-supervised pretraining and parameter-efficient post-training (LoRA/DoRA and frozen feature augmentation) to improve out-of-distribution detection and robustness under distribution shift, cutting fine-tuning GPU hours by ~30% in deployed segmentation workflows. At Memorial Sloan Kettering he led large-scale curation and distributed pretraining on multihospital CT/MRI/PET and language data and collaborated closely with clinicians to move models into clinical pipelines. His earlier work spans hyperspectral and remote sensing foundation models and scalable 4+TB dataset pipelines, reflecting a blend of rigorous academic training (PhD Imaging Science) and practical production impact. Notably, he applies continual self-supervised strategies across modalities to tackle low-data regimes and real-world OOD challenges.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Imaging Science, Doctor of Philosophy - PhD Imaging Science at Rochester Institute of Technology
Github Skills (32)
python8
deep-learning8
generative-adversarial-network8
machine-learning8
pytorch8
dcgan8
data-science7
computer-graphics7
tensorflow7
image-manipulation7
scene7
computer-vision6
cyclegan6
image-translation6
translation6
Programming languages (3)
Github contributions (5)
aneesh3108/AeroRIT
Mar 2020 - May 2021
Contributions:7 commits, 2 PRs, 22 pushes in 1 year 2 months
aneesh3108/aneesh3108.github.io
Nov 2021 - Apr 2024
Contributions:4 pushes, 1 branch in 2 years 5 months
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