Portfolio
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Built a CNN-based pipeline that segments gap junctions in 3D electron-microscopy volumes and converts them into electrical-connectivity measurements.
Outcome: Created a reusable path from raw EM slices to 3D gap-junction predictions, per-neuron measurements, contactomes, and normalized electrical-connectivity matrices.
Built a containerized vision service that streams camera frames from a mobile robot and returns clothing detections or segmentation geometry.
Outcome: Separated capture from inference so lightweight clients can send one JPEG frame at a time and receive compact geometry without hosting model weights or accumulating stale frames.
Built a diffusion-MRI connectomics pipeline comparing DMN/ECN white-matter structure in 40 pediatric brain-tumor survivors and 36 healthy controls.
Outcome: Turned diffusion MRI and cortical parcellations into de-identified, analysis-ready connectivity matrices and documented significant working-memory and processing-speed differences between survivors and controls.
Combined RNN, LSTM, and Conv1D market models with a fine-tuned BERT sentiment pipeline to study daily NVDA price direction.
Outcome: Built reproducible notebooks for price-direction modeling, financial-news classification, daily sentiment aggregation, and side-by-side market interpretation.
