Arpit Aggarwal
Postdoctoral Researcher at Johnson & Johnson
Gaithersburg, Maryland, United States
Summary
👤
Senior🎓
Top SchoolArpit Aggarwal is a Postdoctoral Researcher with 11 years of experience applying deep learning and computer vision to healthcare and autonomous driving problems. He combines academic rigor from PhD work at Georgia Tech/Emory with hands-on engineering—contributing to MONAI (implementing Generalized Wasserstein Dice Loss and expanding tests) and to Fossasia’s Open Event Android project. His toolkit includes Python, C++, PyTorch, OpenCV and production practices like unit testing and code formatting, and he has applied these to MRI super-resolution, cell-painting QC, and ADAS driver monitoring. Arpit has moved between industry and top research labs (Johnson & Johnson, Broad Institute, AbbVie), consistently translating novel models into robust pipelines and scripts for reproducible experiments. Notably, his MONAI contributions improved loss functions and testing coverage in a widely used healthcare-imaging toolkit, reflecting both research depth and commitment to open-source impact. Based in Gaithersburg, MD, he maintains an active GitHub portfolio that surfaces practical projects spanning mobile UI improvements to advanced clinical ML.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Electrical Engineering, Bachelor of Technology - BTech Electrical Engineering at Delhi Technological University (Formerly DCE)Doctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at Georgia Institute of TechnologyDoctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at Emory UniversityMaster of Engineering - MEng Robotics, Master of Engineering - MEng Robotics at University of Maryland
English, Hindi
Github Skills (23)
pytorch10
python10
medical-image-processing10
machine-learning10
android-sdk10
imaging10
android-development10
java10
javas10
deeplearning-ai10
deep-learning10
ai10
medical-imaging10
testing9
unit-testing9
Programming languages (10)
Github contributions (5)
fossasia/open-event-droidgen
Nov 2016 - Jul 2017
Open Event Android App Generator https://github.com/fossasia/open-event-android/raw/apk/sample-apk-fossasia17-development.apk
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:56 commits, 93 PRs, 748 comments in 8 months
Contributions summary:Arpit primarily contributed to the Android application, focusing on enhancing the user interface and adding new functionalities. The commits involve implementing sharing functionality, modifying layouts to improve UI, and integrating features like a video button within the session details. The changes also encompass bug fixes related to the display of speaker images and bookmark statuses.
apkandroidandroid-appkotlinapp-generator
Project-MONAI/MONAI
Jul 2020 - Aug 2020
AI Toolkit for Healthcare Imaging
Role in this project:ML Engineer
ML EngineerContributions:6 commits, 6 PRs, 48 comments in 1 month
Contributions summary:Arpit primarily contributed to the implementation and testing of new loss functions within the MONAI framework, focusing on the development of Generalized Wasserstein Dice Loss. They also addressed string API updates in notebooks and expanded test cases for the Densenet model. Their work involved modifying existing code, adding new functionalities, and ensuring code quality by incorporating python code formatting. Additionally, they have worked on the runexamples.sh script, which suggests they were also involved in the testing and example management of the project.
pytorchpythondeep-learningmedical-image-processingcomputer-vision
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