ARGAJA SHENDE

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Hi there!

I’m a Biomedical Engineering graduate from Carnegie Mellon ​University.


My interests lie in the application of image processing and deep ​learning in pathology and clinical settings. Additionally, I have about ​2 years of experience working in the biotech/healthcare industry.


I am passionate about contributing to the biotech/healthcare ​industry and making a meaningful impact on human health.


Feel free to reach out to collaborate, discuss ideas or just to chat!

EDUCATION

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MS Biomedical Engineering

Graduate Teaching Assistant

2021-2022

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MTech Biomedical Design

BTech Engineering Design

Graduate Teaching Assistant

Graduate Research Assistant

2015-2020

EXPERIENCE

Customer Success ​Engineer - Software ​Solutions

Analyzed microscopy ​datasets using image ​processing and deep learning

Built and tested deep ​learning models to analyze ​medical imaging data

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Built end-to-end ​ultrasound image analysis ​pipeline to improve image ​quality

Software Engineer

Image Analysis Intern

Engineering Intern

Developed image-based ​models to perform urine ​analysis

PROJECTS

Deep Learning

Breast IDC classification

CNN-based deep learning models ​with multiple pooling layer ​variations to classfiy whole-slide-​image patches as IDC ​positive/negative.

Detected infected class of malarial ​images using AutoEncoders. The ​project sorts entire images as either ​normal or infected.

Implemented a modified ​version of the Unet model to ​accurately predict the nuclei ​segmentation mask

Image Processing

Implemented three different ​methods to register the H&E and ​IHC stains and evaluated their ​performance using ground truth ​landmarks.

Develop image analysis and ML ​pipeline for automated detection of ​sweat rate and chloride ​concentration from sweat patch ​images.

Implemented various image processing ​techniques to segment tumor from liver ​CT images using ITK toolkit.

PUBLICATIONS

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Shende, A.D., Patra, B., Prasad, P.K., Bandyopadhyay, S. (2021). Analytical Determination of the Longest ​Cylinder Free of Gain-type Singularities Inside the Workspace of a 3-RPS Spatial Manipulator. In: Lenarčič, ​J., Siciliano, B. (eds) Advances in Robot Kinematics 2020. ARK 2020. Springer Proceedings in Advanced ​Robotics, vol 15. Springer, Cham.

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