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Nicole TabariniNT
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Nicole Tabarini

@nicoletabarini

I build reliable, reproducible production ML systems for regulated medical AI using PyTorch, AWS SageMaker, and MLflow.

Netherlands
Message

What I'm looking for

I'm looking to build reliable, reproducible machine learning systems in regulated medical AI environments, with ownership across the full ML lifecycle.

At SkinVision, I lead the end-to-end lifecycle of a production medical ML system, from dataset generation and experimentation through deployment, monitoring, and audit-ready documentation. I built an automated AWS SageMaker retraining pipeline that reduced training time from three days to seven hours.

I migrated the core model from TensorFlow to PyTorch, implemented MLflow experiment tracking and dataset lineage, and fine-tuned vision foundation models to improve sensitivity and specificity. My background also includes bioinformatics pipelines at BioNTech and genomic data analysis at the Italian Institute of Technology.

Experience

Work history, roles, and key accomplishments

SkinVision logoSK
Current

Machine Learning Engineer

Jan 2024 - Present (2 years 8 months)

Led the end-to-end lifecycle of SkinVision's production ML system, including dataset generation, experimentation, validation, deployment, monitoring and documentation. Developed an automated retraining pipeline on AWS SageMaker, reducing training time from 3 days to 7 hours while improving reproducibility and consistency across experiments.

SkinVision logoSK

AI/Machine Learning Intern

May 2023 - Sep 2023 (4 months)

Developed a deep learning model to identify out-of-distribution (near-OOD) skin lesions not represented in the training dataset.

BN

Bioinformatics Intern

BioNTech (Ex CureVac NL)

Sep 2022 - Mar 2023 (6 months)

Designed bioinformatics pipelines to investigate tumor immune evasion mechanisms across multiple cancer types.

IIT- Italian Institute of Technology logoIT

Bioinformatician

IIT- Italian Institute of Technology

Nov 2020 - Aug 2021 (9 months)

Performed exomic and genomic data analysis with a focus on non-coding and structural variants and their impact on disease.

IIT- Italian Institute of Technology logoIT

Bioinformatics Intern

IIT- Italian Institute of Technology

Jun 2020 - Aug 2020 (2 months)

Performed NGS bioinformatic analyses with a focus on sequencing coverage assessment and quality evaluation.

Education

Degrees, certifications, and relevant coursework

Vrije Universiteit Amsterdam logoVA

Vrije Universiteit Amsterdam

MSc, Bioinformatics and Systems Biology

2021 - 2023

MSc in Bioinformatics and Systems Biology from Vrije Universiteit Amsterdam and Universiteit van Amsterdam, completed in 2023.

University of Bologna logoUB

University of Bologna

BSc, Genomics

2017 - 2020

BSc in Genomics from the University of Bologna, completed in 2020.

Tech stack

Software and tools used professionally

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