Siddhesh Thakur
Data Engineer
Indianapolis, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolSiddhesh Thakur is a Data Engineer and Multi-Modal AI researcher with nine years of experience building production-ready medical imaging and ML pipelines. He has designed end-to-end systems for ingestion, anonymization, preprocessing, segmentation, and deployment of deep learning models at scale, including a clinical pipeline that cut runtime by 90% to reduce Gadolinium usage. His work spans from federated tumor-segmentation systems validated on 10,000+ cases to resource-aware optimization methods that enable deployment in underserved settings. Known for translating research into deployable software (e.g., a Brain Extraction package and Deep Learning frameworks for digital pathology), he blends rigorous statistical evaluation with pragmatic engineering. Based in Indianapolis, he brings a researcher’s curiosity—self-described as an “explorer of infinity”—to solve high-impact clinical imaging problems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded
Github Skills (111)
cnn-classification10
python10
regression10
deep-learning10
gpu10
medical-image-analysis10
medical-imaging10
efficientnet10
convolutional-neural-networks10
biomedical-image-processing10
imagenet10
optimizer10
ml10
numpy10
resnet10
Programming languages (6)
Github contributions (5)
CBICA/BrainMaGe
Feb 2019 - Aug 2022
Brain extraction in presence of abnormalities, using single and multiple MRI modalities
Contributions:2 reviews, 91 commits, 9 PRs in 3 years 5 months
pytorchbrainneuroimagingpythonextraction
Geeks-Sid/Information-on-deep-learning
Oct 2017 - May 2020
Contributions:13 pushes, 1 branch, 2 comments in 2 years 8 months
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