Portfolio
Data Science & Research Engineering
Specializing in machine learning, physics-informed neural networks, biomedical modeling, analytics, and practical software solutions.
Deep learning, neural networks, scientific modeling with PINNs and advanced algorithms.
Biomedical applications, signal processing, physics-informed approaches to complex problems.
Full-stack solutions, analytics dashboards, automation, and practical software delivery.
Featured Areas
What I Do
Biomedical & Medical AI
Applying deep learning to medical imaging, ECG analysis, and disease diagnosis. Combining signal processing with neural networks for clinical insights.
Explore Research →Physics-Informed Neural Networks
Developing PINN architectures that integrate physical laws into machine learning models for accurate scientific prediction and modeling.
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Analytics & Data Solutions
Building practical analytics dashboards, data pipelines, and web-based tools that deliver actionable insights and automate workflows.
View Projects →Interested in Collaboration?
Open to partnerships on ML research, biomedical projects, and innovative technical solutions.
Learn About Collaboration