For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
Jaiveer Bassi

Jaiveer Bassi

Software Developer - AI and Web Applications

USA flag
Vallejo, Usa
$30.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText

Top Label Types

Classification

Freelancer Overview

I am a software developer and AI enthusiast with hands-on experience building data-driven applications and AI-powered solutions, particularly in healthcare and biomedical domains. My background includes developing secure data pipelines for laboratory instrument data, creating AI-powered platforms that leverage NLP and models like BioBERT for summarizing biomedical literature, and designing tools for packaging and deploying machine learning models. I am skilled in Python, PyTorch, SQL, and modern web technologies, and have worked extensively with OpenAI APIs, HuggingFace, and data annotation for tasks like resume analysis and medical image classification. My experience with large datasets, model evaluation, and end-to-end AI workflows enables me to contribute effectively to data labeling and AI training data projects, especially those requiring attention to data quality and domain-specific insights.

IntermediateEnglishPunjabiUrduHindi

Labeling Experience

Published research conducted during MS in Software Engineering. Stanford AI/ML in Healthcare certified. Experienced with DICOM medical imaging standards and healthcare data compliance.

OtherTextClassification
Built a biomedical text classification and summarization platform processing PubMed research articles. Used BioBERT to classify and categorize biomedical literature, then generate summaries adapted to three expertise levels (clinician, researcher, patient). Processed and labeled text data from thousands of PubMed abstracts through the NLP pipeline with quality validation at each stage.

Built a biomedical text classification and summarization platform processing PubMed research articles. Used BioBERT to classify and categorize biomedical literature, then generate summaries adapted to three expertise levels (clinician, researcher, patient). Processed and labeled text data from thousands of PubMed abstracts through the NLP pipeline with quality validation at each stage.

2025

Brain Tumor MRI Classification and Annotation

OtherImageClassification
Classified and labeled 7,000+ DICOM MRI brain scans into four diagnostic categories: glioma, meningioma, pituitary tumor, and healthy tissue. Built a reproducible annotation and classification pipeline using ResNet-18 transfer learning in PyTorch. Performed data preprocessing, quality validation, and label verification across the full dataset. Achieved publishable accuracy results with findings documented in a peer-reviewed paper (DOI: 10.13140/RG.2.2.21638.28484).

Classified and labeled 7,000+ DICOM MRI brain scans into four diagnostic categories: glioma, meningioma, pituitary tumor, and healthy tissue. Built a reproducible annotation and classification pipeline using ResNet-18 transfer learning in PyTorch. Performed data preprocessing, quality validation, and label verification across the full dataset. Achieved publishable accuracy results with findings documented in a peer-reviewed paper (DOI: 10.13140/RG.2.2.21638.28484).

2025 - 2025

Education

G

Grand Canyon University

Master of Science, Computer Software Engineering

Master of Science
2024 - 2025
U

University of Silicon Valley

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2023

Work History

K

Kaiser Permanente

Software Developer

Berkeley
2023 - 2024