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I am a Biomedical Engineer with a Master's degree specializing in Digital Health, combining a strong software background with expertise in machine learning and data analytics. I have hands-on experience building predictive analytics pipelines, advanced image segmentation methods, and AI regulatory compliance for clinical and industrial applications. I'm passionate about leveraging technology to solve real-world problems in healthcare and industry. I enjoy staying at the intersection of biomedical engineering and software, continuously improving my skills in modern ML frameworks like PyTorch and cloud technologies. Alongside my technical expertise, I am committed to STEM education and actively contribute as a STEM tutor. I am open to roles in Software, Machine Learning Engineering, Data Science, or Analyst positions across tech, industrial, and biomedical sectors, and I am willing to relocate to further my career opportunities.…I am a Biomedical Engineer with a Master's degree specializing in Digital Health, combining a strong software background with expertise in machine learning and data analytics. I have hands-on experience building predictive analytics pipelines, advanced image segmentation methods, and AI regulatory compliance for clinical and industrial applications. I'm passionate about leveraging technology to solve real-world problems in healthcare and industry. I enjoy staying at the intersection of biomedical engineering and software, continuously improving my skills in modern ML frameworks like PyTorch and cloud technologies. Alongside my technical expertise, I am committed to STEM education and actively contribute as a STEM tutor. I am open to roles in Software, Machine Learning Engineering, Data Science, or Analyst positions across tech, industrial, and biomedical sectors, and I am willing to relocate to further my career opportunities.

Simone Caputo

AI Engineer, AI Developer, Data Scientist, +4

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I am a Biomedical Engineer with a Master's degree specializing in Digital Health, combining a strong software background with expertise in machine learning and data analytics. I have hands-on experience building predictive analytics pipelines, advanced image segmentation methods, and AI regulatory compliance for clinical and industrial applications. I'm passionate about leveraging technology to solve real-world problems in healthcare and industry. I enjoy staying at the intersection of biomedical engineering and software, continuously improving my skills in modern ML frameworks like PyTorch and cloud technologies. Alongside my technical expertise, I am committed to STEM education and actively contribute as a STEM tutor. I am open to roles in Software, Machine Learning Engineering, Data Science, or Analyst positions across tech, industrial, and biomedical sectors, and I am willing to relocate to further my career opportunities.…I am a Biomedical Engineer with a Master's degree specializing in Digital Health, combining a strong software background with expertise in machine learning and data analytics. I have hands-on experience building predictive analytics pipelines, advanced image segmentation methods, and AI regulatory compliance for clinical and industrial applications. I'm passionate about leveraging technology to solve real-world problems in healthcare and industry. I enjoy staying at the intersection of biomedical engineering and software, continuously improving my skills in modern ML frameworks like PyTorch and cloud technologies. Alongside my technical expertise, I am committed to STEM education and actively contribute as a STEM tutor. I am open to roles in Software, Machine Learning Engineering, Data Science, or Analyst positions across tech, industrial, and biomedical sectors, and I am willing to relocate to further my career opportunities.

Available to hire

I am a Biomedical Engineer with a Master’s degree specializing in Digital Health, combining a strong software background with expertise in machine learning and data analytics. I have hands-on experience building predictive analytics pipelines, advanced image segmentation methods, and AI regulatory compliance for clinical and industrial applications. I’m passionate about leveraging technology to solve real-world problems in healthcare and industry.

I enjoy staying at the intersection of biomedical engineering and software, continuously improving my skills in modern ML frameworks like PyTorch and cloud technologies. Alongside my technical expertise, I am committed to STEM education and actively contribute as a STEM tutor. I am open to roles in Software, Machine Learning Engineering, Data Science, or Analyst positions across tech, industrial, and biomedical sectors, and I am willing to relocate to further my career opportunities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Italian

Fluent

English

Advanced

Spanish; Castilian

Intermediate

Work Experience

Machine-Learning Engineer (Traineeship) at Brunel University London, Dept. of Computer Science

May 31, 2025 - August 28, 2025

Built and fine-tuned Generative AI models in PyTorch (VAE, StyleGAN) for 512 x 512 RGB image synthesis with FID 3.1. Designed a pipeline involving YOLO object detection for preprocessing, clustering, UMAP embeddings, and classification with deep learning architectures such as ResNet50, InceptionV3, and EfficientNet. Developed CUDA kernels for 4 x NVIDIA RTX A6000 GPUs and managed high-performance computing workflows using SLURM on Linux.

STEM Tutor at Private Tutoring

September 1, 2018 - Present

Provided private lessons in computer science, programming, mathematics, physics, and statistics to approximately 30 students per year. Collaborated with local professors to create teaching materials tailored to student needs.

Machine‐Learning Engineer (Traineeship) at Brunel University London, Dept. of Computer Science

May 31, 2025 - August 29, 2025

Developed and fine-tuned generative AI models in PyTorch for high-resolution image synthesis achieving a FID score of 3.1. Designed and implemented preprocessing pipelines including YOLO object detection, clustering, UMAP embedding, and classification using architectures like ResNet50, InceptionV3, and EfficientNet. Authored custom CUDA kernels optimized for 4 × NVIDIA RTX A6000 GPUs and managed high-performance computing workflows on Linux clusters using SLURM scheduling.

STEM Tutor at Private Tutoring

September 1, 2018 - Present

Provided private lessons in computer science, programming, mathematics, physics, and statistics to approximately 30 students per year. Collaborated with local professors to develop and create teaching materials tailored to student needs.