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sarvesh adithya Jayaprakash

@sarveshadithyajayapr

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I build and benchmark PyTorch segmentation models for biomedical image analysis.

India

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What I'm looking for

I'm seeking an entry-level opportunity as a Machine Learning Engineer, Data Scientist, Computer Vision Engineer, or AI Research contributor, where I can build, evaluate, and improve machine learning systems.

I'm completing an M.Tech in Artificial Intelligence and Data Science at Shiv Nadar University, Chennai, after earning a B.Tech in Computer Science from VIT.

As a Research Intern at Shiv Nadar University, I developed a PyTorch pipeline for 17-class semantic segmentation of zebrafish embryo microscopy images. I benchmarked seven architectures on 1,328 images and identified a strongest model with an approximately 0.87 Dice score.

My zebrafish segmentation work supports a drug repurposing study for diabetes-associated neovascular glaucoma. I built reproducible evaluation protocols, shared experiment tracking, COCO polygon-to-mask conversion, and Dice, IoU, and clDice metrics.

I've also built a machine learning system for diabetic macular edema detection and a Flask-based traffic-volume estimation application that reduced simulated congestion by approximately 20%. I'm seeking entry-level work in machine learning, data science, computer vision, or AI research.

Experience

Work history, roles, and key accomplishments

Research Intern

Shiv Nadar University

Apr 2026 - Jun 2026 (2 months)

Developed a deep learning pipeline in PyTorch for 17-class semantic segmentation of zebrafish embryo microscopy images. Benchmarked seven segmentation architectures and achieved a Dice score of approximately 0.87.

PyTorch Deep Learning Benchmarking