Who I Am

I'm Antonin, a dedicated Healthcare IT freelancer blending a strong technical foundation with real-world experience in medical imaging and hospital systems. With years spent maintaining GE Healthcare’s PACS systems and a deep understanding of radiology workflows, I build smart, efficient solutions tailored to the needs of healthcare professionals.

Specializing in automation and AI, I optimize complex workflows using high-level languages for rapid prototyping and low-level programming for performance-critical components. My approach combines empathy with engineering—empowering healthcare staff with reliable, explainable, and secure tools to inherently improve patient care.

I've worked with multiple hospitals during my tenure at GE, won the TUH Hackathon, and participated in key Healthcare IT and AI conferences. Let’s collaborate to drive healthcare forward with innovation that truly works for people.

Antonin Headshot
Healthcare IT Illustration

Technologies & Skills

Healthcare Workflow

Redesign & Optimization

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Python

Development

High-Performance Icon

Rust / C#

High-Performance Programming

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TF/PyTorch

AI/ML

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FastAPI/Flask

+ FHIR/HL7 Integration

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Docker

Containerization

Certifications & Credentials

NVIDIA
Fundamentals of Deep Learning
DeepLearning.AI
Deep Learning Specialization
IBM
IBM Data Engineer

My Journey

Experience

  1. 2024 – Present

    Freelance Healthcare IT Consultant

    Architecting and deploying end-to-end healthcare IT solutions—system automation, interoperability via FHIR/HL7, and intuitive data-driven dashboards.

  2. 2024

    TUH Hackathon Winner

    Built an AI-driven radiology triage prototype that won first place out of 20 teams.

  3. 2021 – 2024

    PACS Support Engineer @ TCS for GE Healthcare

    Managed PACS infrastructure for 75+ hospitals owning service requests, incident response, and uptime across multi-site, multi-language deployments.

Education

  1. 2015 – 2018

    MSc in Biomedical Engineering

    Université de Technologie de Compiègne — signal processing, embedded & hospital systems.

  2. 2021

    Deep Learning Specialization

    Coursera / DeepLearning.AI — neural networks, CNNs, deployment best practices.

  3. 2022

    Fundamentals of Deep Learning

    NVIDIA Academy & IBM — hands-on GPU acceleration and data engineering.

Let's Connect

Interested in working together? Reach out!

Email Me Connect on LinkedIn