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Achievement: Pull SharkAchievement: Quickdraw

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chripiermarini/README.md

👋 Hi, I’m Christian Piermarini, Applied Scientist II at the Amazon Science Headquarters in Luxembourg.

I hold a Ph.D. in Operations Research and dual Engineering/Applied Mathematics degrees (BSc + MSc, both cum laude) from 'La Sapienza' University of Rome.

🚀 What I Do (at a glance)

  • Core Expertise: Mathematical Optimization (Large-Scale, Continuous, Combinatorial), Machine Learning Pipelines, and Discrete-Event Simulation.
  • Industry Impact: Architecting end-to-end production pipelines, automated network assignment tools, and simulation frameworks to optimize global supply chains and logistics.
  • Academic Contribution: Developed and published novel optimization algorithms in large scale settings through matrix factorization, benchmark methods, and stochastic momentum methods for physics-informed machine learning.

🛠️ Technical Toolkit

  • Languages: Python (Advanced), SQL, Fortran, Java, Bash
  • Optimization & OR: OR-tools, FICO Xpress, Pyomo, AMPL, SimPy, Arena, Simulation
  • Machine Learning & Data: Pandas, Polars, PyTorch, Scikit-learn, (learning) DuckDB and JAX
  • Infrastructure: Docker, AWS (S3, EC2, lambda), Git

📊 Research & Profiles

📚 Google Scholar: Google Scholar
🆔 ORCID: ORCID

💻 Coding Practice

🥷 LeetCode Profile: LeetCode

📫 Connect with me

LinkedIn Email

Pinned Loading

  1. decision-intelligence-logistics-engine decision-intelligence-logistics-engine Public

    End-to-end logistics decision engine combining demand forecasting, simulation, and optimization to support data-driven planning under uncertainty.

    Jupyter Notebook 4 2

  2. SSQPPINN SSQPPINN Public

    Forked from wangqiuoe/SSQPPINN

    solving pinn problem using stochastic SQP algorithms

    Python

  3. or-tools or-tools Public

    Forked from google/or-tools

    Google's Operations Research tools:

    C++

  4. Awesome_Math_Books Awesome_Math_Books Public

    Forked from valeman/Awesome_Math_Books