AI/ML Researcher Β· Medical Imaging & Neurovascular AI Β· PhD in Physics
Building deep learning systems that help clinicians detect strokes faster.
I'm an AI/ML Researcher at Nuvo AI, where I'm a core contributor to NeuralIQ β a clinical AI platform for stroke neurovascular care.
My work sits at the intersection of deep learning and high-stakes clinical decision-making: building, validating, and deploying AI pipelines that operate directly in hospital reading rooms, helping radiologists detect hemorrhages, identify vessel occlusions, and decide on treatment in minutes rather than hours.
I hold a PhD in Physics from VNIT Nagpur, which gives me an unusual edge: I approach ML problems with the rigour of a scientist and the pragmatism of an engineer.
| Module | What I built | Result |
|---|---|---|
| NCCT Hemorrhage Segmentation | 3D U-Net pipeline trained on 3,000+ patient studies | DICE 0.73 (hemorrhagic), 0.58 (ischemic) |
| LVO Detection on CTA | Deep learning pipeline for Large Vessel Occlusion detection | AUC 0.92 Β· Recall 0.87 β Published: Medical Image Analysis, Elsevier 2025 |
| Multi-modal Pipeline | Unified NCCT + CTA stroke quantification | 44% reduction in door-to-treatment time |
| Clinical Decision Support | ASPECTS scoring, tPA/MT eligibility, midline shift | Deployed live in 47+ hospitals |
π Filed IP: 3D Deep Learning-Based Stroke Segmentation and Volumetric Analysis Pipeline for Clinical CT Imaging
- 7 peer-reviewed journal articles across Physics, AI, and Computational Science
- 1 book published
- 1 patent application filed (medical AI)
π Full list: Google Scholar Profile
skills = {
"Languages": ["Python", "C++", "FORTRAN", "JavaScript"],
"DL Frameworks": ["PyTorch", "TensorFlow", "NNabla", "Hugging Face"],
"Medical Imaging": ["3D U-Net", "DICOM", "SimpleITK", "OpenCV",
"NCCT/CTA/CTP pipelines", "Volumetric segmentation"],
"ML / Data": ["XGBoost", "CatBoost", "ARIMA", "PySpark",
"Databricks", "Scikit-learn", "Pandas", "NumPy"],
"Generative AI": ["Diffusion Models", "Consistency Trajectory Models",
"LLM Fine-Tuning", "GRPO Reinforcement Learning"],
"Domains": ["Computer Vision", "Medical Image Analysis", "NLP",
"Neurovascular AI", "Statistical Modelling"],
}QuantumInformation β Python Library
A Python library for quantum information and computation.
pip install QuantumInformation- π Paper accepted in Medical Image Analysis (Elsevier, 2025) β IF 10.7
- π§ͺ Trained diffusion models on 8Γ NVIDIA H100 GPUs β FID 2.37 (state-of-the-art)
- π₯ Best PoC Team Award β Sony
- π PhD in Physics β VNIT Nagpur
| Degree | Institution | Year |
|---|---|---|
| PhD β Physics (Computational / Mathematical Modelling) | VNIT Nagpur | 2015β2021 |
| M.Sc. β Physics | VNIT Nagpur | 2013β2015 |
| B.Sc. β Physics | Hansraj College, University of Delhi | 2009β2012 |
I'm always open to conversations about medical AI, neurovascular applications, or anything at the intersection of rigorous science and engineering.
π§ pranay.barkataki@gmail.com π linkedin.com/in/pranaybarkataki

