Sanyog Vyawahare
PHD Candidate
Nijmegen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolSanyog Vyawahare is a PhD candidate at Amsterdam UMC specializing in AI for medical imaging, bringing eight years of experience bridging deep learning research and production-ready tooling. He has hands-on experience automating image analysis workflows—such as CT nodule segmentation and cephalometric analysis—from internships at Radboudumc to doctoral research, combining clinical relevance with rigorous model development. His background in intelligent systems (MSc, Radboud University) and early engineering work on distributed data tooling and monitoring (Koalas on Spark, Prometheus/Grafana) gives him a rare fluency from data infrastructure to model deployment. Based in Nijmegen, he is driven to translate AI research into impactful healthcare solutions and often approaches problems with pragmatic engineering practices rather than purely academic solutions. Despite a research focus, his Github motto—"Writing one line of code at a time"—reflects a steady, implementation-oriented mindset that complements his scientific ambitions.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, AI in medical imaging, Doctor of Philosophy - PhD, AI in medical imaging at Amsterdam UmcMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Radboud University NijmegenBachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at Smt kashibai navale College of Engineering
English, Hindi, Marathi
Github Skills (37)
segmentation10
toolbox9
faster-rcnn8
object-detection8
python8
vision-transformer8
benchmark8
artificial-intelligence8
pytorch8
lifecycle7
lightning7
javascript7
openmmlab7
machine-learning7
mask-rcnn7
Programming languages (6)
Github contributions (5)
JackRio/Breast-Cancer-
Dec 2018 - Jun 2020
Breast Cancer Prediction Algorithm
Contributions:4 PRs, 11 pushes, 1 branch in 1 year 5 months
prediction-algorithmpythonpredictionknn-classificationbreast-cancer
JackRio/website-content
May 2022 - May 2023
This repository stores all the content for the diag websites.
Contributions:14 pushes, 7 branches in 11 months
javascriptstores
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