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Shanthipriya K V

@shanthipriyakv

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I build AI-driven healthcare diagnostics from biomedical signals, medical images, and edge-device models.

India

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What I'm looking for

I'm looking to apply AI/ML, biomedical signal processing, and medical-image analysis to build data-driven healthcare and diagnostic solutions.

At VTitan Corporation, I trained a CNN and Bidirectional LSTM model on PASCAL Heart Sound Challenge and CirCor DigiScope PCG datasets, processing 5,000+ recordings and achieving 96% accuracy in heart sound classification.

I'm an M.Tech graduate in Biomedical Instrumentation and Signal Processing who applies Python, MATLAB, TensorFlow, and signal processing to healthcare challenges. My work includes 98–100% accurate multimodal stress monitoring through RFECV, retinal blood-vessel segmentation, and real-time CNN inference on Raspberry Pi; I also published research on multimodal stress detection in IEEE Xplore.

Experience

Work history, roles, and key accomplishments

Project Trainee Intern

VTitan Corporation Private Limited

Oct 2024 - Mar 2025 (5 months)

Trained a CNN + Bidirectional LSTM model on PASCAL Heart Sound Challenge and CirCor DigiScope PCG datasets to classify heart sounds. Processed 5000+ heart sound recordings by extracting MFCC features with 26 coefficients, applied time-shift augmentation, and implemented class-weight balancing, achieving 96% classification accuracy.