Projects
A growing collection of my projects.
Breast Cancer : Multi-Modal Fusion Dataset
A comprehensive data curation project addressing the fragmentation of the TCGA-BRCA program. This dataset provides a strictly patient-aligned fusion of radiology (MRI), computational pathology (WSI patches), RNA-seq, Copy Number Variations (CNV), somatic mutations, and longitudinal clinical records for breast cancer research.
OncoGemma: Multi-Modal Oncology Agent
An autonomous virtual tumor board — fine-tuned MedGemma-4B with multi-modal fusion of MRI, whole slide images, and genomic profiles, featuring a dual-agent zero-hallucination inference engine for precision breast cancer treatment planning.
Medical Image Segmentation: Brain Tumor
A systematic deep learning benchmark for automated brain tumor segmentation on BraTS20 MRI scans — comparing custom U-Net, pretrained encoder U-Nets, U-Net++, DeepLabV3+, and TransUNet across multiple loss functions and hyperparameter configurations.
Edge AI Face Recognition System
A production-grade, real-time face recognition system engineered for resource-constrained ARM devices — combining FaceNet embeddings, MTCNN detection, and direct Raspberry Pi GPIO integration for physical access control.
Medical Image Segmentation: GI Tract
Deep learning pipeline for automated segmentation of gastrointestinal organs in MR-Linac scans, enabling precise radiation dose delivery for GI tract cancer treatment — benchmarking UNet, UNet++, and DeepLabV3 with multiple encoder backbones.
Lightweight Language Modeling: A Comparative Benchmark
Comparative study of lightweight neural architectures for language modeling, benchmarking LSTM variants and Transformer-based models on WikiText-2 with a focus on perplexity and computational efficiency.
Age Estimation in the Wild
Comparative study of three deep learning architectures for real-world age estimation, including MiVolo, ResNet, and Multi-Input GhostFaceNet — trained on IMDB, UTKFace, and CACD datasets.