Isotropic 3D Bio-Imaging Reconstruction
CycleGAN architecture in PyTorch for unpaired image-to-image translation, correcting anisotropic distortion in tissue microscopy datasets.
Selected developments in Scientific Machine Learning (PINNs), Computer Vision, AWS cloud infrastructure, and mathematical modeling. Click on any project to explore its technical case study.
CycleGAN architecture in PyTorch for unpaired image-to-image translation, correcting anisotropic distortion in tissue microscopy datasets.
Hybrid DenseNet121 + Swin Transformer in PyTorch with weighted asymmetric loss, achieving 99% recall on chest radiographs.
Physics-Informed Neural Networks for PDEs (1D Burgers, 2D thermal diffusion, Navier-Stokes) with FastAPI microservices and AWS EC2 deployment.
Comparative regression pipelines (Random Forest, XGBoost) in Python and R with modular continuous training, served via FastAPI and Streamlit.
Scientific outreach narratives and orbital mechanics animations programmed in Python with Manim, commemorating Yuri Gagarin and the Artemis II mission.