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Vipul Gujrati

Vipul Gujrati

AI/ML Contributor – Bio-Imaging Annotation, Labeling and Dataset Curation

Germany flagNeufahrn bei Freising, Germany
$150.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Action Recognition
Diagnosis
Mapping
Object Detection
Segmentation

Freelancer Overview

Actively contributing to AI/ ML training initiatives in biomedical imaging with hands-on experience in bio-imaging data labeling, annotation, and dataset curation for biological applications. Participated in preparing and reviewing labeled datasets from photoacoustic (MSOT), ultrasound, MRI, and fluorescence imaging for use in supervised learning tasks such as image segmentation, classification, and biological pattern recognition. Involved in quality control and metadata standardization processes to ensure high-quality data. Experience includes working on projects funded by EU grants for image analysis, particularly for biomarker discovery, drug efficacy evaluation, and preclinical safety studies. Familiar with ground truth generation and multimodal image data integration (e.g., MSOT with MRI or ultrasound). Collaborated closely with interdisciplinary teams and supported training efforts in biomedical imaging and translational research environments.

ExpertHindiGermanKoreanEnglish

Labeling Experience

Bio-imaging

OtherImageSegmentationClassification
In EU funded projects, I participated in the curation of ground-truth datasets for evaluating contrast agent distribution in cancer and metabolic disease models, involving pixel-level annotation and data quality control. I also worked on integrating multimodal datasets (e.g., MSOT with US or MRI) to support cross-modality model development. My role involved annotation, validation, metadata, and ensuring dataset consistency for supervised learning done by computational researchers.

In EU funded projects, I participated in the curation of ground-truth datasets for evaluating contrast agent distribution in cancer and metabolic disease models, involving pixel-level annotation and data quality control. I also worked on integrating multimodal datasets (e.g., MSOT with US or MRI) to support cross-modality model development. My role involved annotation, validation, metadata, and ensuring dataset consistency for supervised learning done by computational researchers.

2018 - 2022

Education

K

Korea Advanced Institute of Science and Technology

Doctor of Philosophy, Biological Sciences

Doctor of Philosophy
2010 - 2014
V

VL College of Pharmacy, Rajiv Gandhi University of Health Sciences

Master of Pharmacy, Pharmacology

Master of Pharmacy
2004 - 2006

Work History

I

Institute of Biological and Medical Imaging, Helmholtz Munich

Research Group Leader

Munich
2022 - Present
C

Chair for Biological Imaging, Technical University Munich (TUM)

Postdoctoral Fellow

Munich
2016 - 2022