From Pharmacy to AI: My Journey in Healthcare Innovation

Hi there! I'm Amine Benani, and I'm excited to share my journey with you.

When I first started my pharmacy studies at Université Paris-Saclay, I never imagined that I'd end up building AI algorithms for pharmaceutical companies or co-founding tech startups. But here I am, and it's been an incredible ride.

The Spark: Seeing Healthcare Through Data

My "aha moment" came during my internships at various pharmacies. I was constantly struck by how much valuable data was generated daily - from prescription patterns to inventory management - yet so little of it was being used to improve patient care or optimize operations.

This realization led me to pursue a Master's in "Big Data for Health" at Université Paris Cité. The program opened my eyes to the immense potential of applying machine learning and data engineering to healthcare challenges.

Building Solutions, Learning from Failures

Apotigo: Tackling Pharmaceutical Waste

In 2022, I co-founded Apotigo with the mission to rescue near-expiry pharmaceutical products. We built a platform using React Native and PostgreSQL that allowed consumers to purchase quality medications at reduced prices while helping pharmacies reduce waste.

// A simple example of our inventory optimization algorithm
const optimizeInventory = (products, expiryThreshold) => {
  return products
    .filter((product) => product.daysToExpiry <= expiryThreshold)
    .sort((a, b) => a.daysToExpiry - b.daysToExpiry)
    .map((product) => ({
      ...product,
      discountedPrice: calculateDiscount(product),
    }));
};

While Apotigo didn't achieve the scale we hoped for, it taught me invaluable lessons about product-market fit, user behavior, and the regulatory complexities of the pharmaceutical industry.

CEGEDIM: AI in Production

My internship at CEGEDIM was a game-changer. I developed a competitor detection algorithm for pharmaceutical products that significantly outperformed traditional text-based search methods. Using Singular Value Decomposition (SVD) and content-based filtering techniques, we created a system that's now in production.

The most rewarding part? Seeing my algorithm help pharmacy professionals make better purchasing decisions every day.

Current Adventures: Freel and Beyond

Today, I'm working on Freel, an AI-powered platform that helps freelancers generate beautiful portfolios from their LinkedIn profiles. It's fascinating how the same machine learning principles I use in healthcare can be applied to solve completely different problems.

We even applied to Y Combinator (spoiler: we didn't get in, but the experience was invaluable).

Looking Forward

As I continue my journey in healthcare AI, I'm excited about the possibilities ahead. From drug discovery to personalized medicine, from operational optimization to predictive analytics - there's so much potential to make a real impact.

I believe that the intersection of healthcare knowledge and technical expertise is where the magic happens. It's not enough to just build cool algorithms; we need to understand the human side of healthcare to create solutions that truly matter.

What challenges in healthcare do you think could benefit from AI solutions? I'd love to hear your thoughts! Feel free to reach out on LinkedIn or drop me an email.

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