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  • Alma Mater Studiorum - Università di Bologna
  • Bologna
  • X @michimichiamo

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michimichiamo/README.md

Hi there 👋

  • 👨‍💼 I am a Data Engineer at XTEL.
  • 📖 I graduated in Physics (Bachelor Degree) and Artificial Intelligence (Master Degree) at Alma Mater Studiorum - Università di Bologna
  • 🔭 I worked on predictive and prescriptive models (with focus on COVID-19 pandemic) as part of my Master's Degree thesis work
    • Exploiting techniques integrating Deep Learning and Constrained Optimization
    • Making use of Compartmental models, Lagrangian duality (optimization), Artificial Neural Networks and Empirical Model Learning
  • 🌱 I’m currently working on AI predictive models in the field of FMCG/CPG.
  • 💬 Ask me about my work:
    • You can find it all here on GitHub 👇
  • 📫 How to reach me: write me an email
  • ⚡ Fun fact: I was born on Feb 29th!

Projects

Check out my repositories to know what I'm working on!

Some of my favourite projects:

  • sir-npi: Development of a epidemiological predictive model to for my Master thesis to rely upon.
  • pwp: Solving an optimization problem exploiting both CP (Constrained Programming) and SMT (Satisfaction Modulo Theories)
  • neuralnet: Artificial neural network evaluation deploying OpenMP- and NVIDIA CUDA.
  • Lostefra/TranslationCoherence: Assess quality of translations from/back different languages (using OWL and FRED)
  • pos-tagging: An exercise on POS-tagging using different RNN models (LSTM, GRU)
  • covid-logistic-bfgs: Fitting a logistic regression on COVID-19 data using BFGS optimization algorithm

Programming languages, frameworks and tools

Main experience, everyday use

python jupyter tensorflow pytorch numpy pandas c c++ bash docker markdown linux github

Learned at university and used to develop some projects

scala W3C Semantic Web openmp nvidia-cuda minizinc z3-prover swi-prolog

Mainly self-taught

java html5 css3 sass

In progress...

javascript jquery angular nodejs php R ruby SQL

Pinned Loading

  1. sir-npi sir-npi Public

    A descriptive and predictive model of COVID-19 data applying the SIR compartmental model, Lagrangian Duality and Neural Networks.

    Jupyter Notebook

  2. neuralnet neuralnet Public

    A simple, parallel, efficient neural network evaluator.

    Jupyter Notebook

  3. Lostefra/TranslationCoherence Lostefra/TranslationCoherence Public

    Python 1

  4. pos-tagging pos-tagging Public

    Training three different RNN models on a portion of Penn Treebank data to perform POS-tagging

    Jupyter Notebook 1

  5. covid-logistic-bfgs covid-logistic-bfgs Public

    Logistic regression on COVID-19 data using BFGS algorithm

    Python 1