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Ishikawa7/README.md

Davide Grimaldi

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πŸ”­ I'm currently working as a Machine Learning Engineer and as a Research Operations Scientist.

🏒 At the moment, I am working for Nicomac Europe s.r.l. (Nicomac website) on machine learning control projects and the use of machine learning in industrial processes.

🌱 I'm looking to collaborate on research-innovative projects.

πŸ’» I'm currently working on: machine learning control, technology transfer, computer vision, data pipelines, deployment of AI solutions, optimization problems.

πŸ“ I regularly: read scientific papers and articles on machine learning and research operations; prototype new systems to deal with real problems.

πŸ’¬ Ask me about: solutions to impact reality thanks to artificial intelligence, and making processes more efficient through optimization algorithms.

πŸ“„ Know about my experiences: Resume


About Me

Versatile and antifragile Machine Learning Engineer with end-to-end expertise in machine learning solution development, from data ingestion and model building to deployment and optimization. Skilled in machine learning, deep learning, optimization, and data-driven decision systems, with a strong track record in high-impact projects across food production, HoReCa sector, industry, defense, and research.

  • Process Optimization & Solution-Driven: Focused on developing and implementing solutions that enhance efficiency and streamline operations, regardless of domain or scale.
  • Team Collaboration: Collaborated cross-functionally with experts to drive AI product development.
  • Cross-Domain Agility: Successfully applied machine learning methodologies across diverse domains.
  • Effective Research Translation: Bridged academic and applied research by translating models into usable tools.
  • Prototyping Excellence: ability to prototype new solutions to give insight into any complex problem.

Key Skills

#Machine Learning, #Deep Learning, #Operation Research, #Decision Science, #Programming, #Anomalies Detection, #Time Series Analysis, #Genetic Algorithms, #Heuristic Algorithms, #Network Analysis, #Optimization, #Forecasting, #Cloud, #Data Science, #MLOps, #Applied Math, #Machine Learning Control, #Reinforcement Learning


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  1. DynamicPatrol_test DynamicPatrol_test Public

    This project simulates a dynamic patrolling system in an unknown 2D continuous space

    Jupyter Notebook

  2. Audio_anomalies_detection_test Audio_anomalies_detection_test Public

    Anomaly Detection on Audio MNIST (Digit "Six") with Self-Supervised Exploration

    Jupyter Notebook

  3. Imaging-Air-Control Imaging-Air-Control Public

    This project implements a prototype simulation of an Imaging-based Air Quality Control System that combines computer vision, predictive modeling, and real-time optimization to monitor and control i…

    Jupyter Notebook

  4. Simulate_air_quality_control Simulate_air_quality_control Public

    A comprehensive simulation and test-prototype system for intelligent air quality control in indoor environments, focusing on carbon monoxide (CO) monitoring and automated ventilation management.

    Jupyter Notebook

  5. Travel-salesman-problem-comparison-genetic-antcolony-greedy Travel-salesman-problem-comparison-genetic-antcolony-greedy Public

    Performance comparison beetween genetic algorithm, ant colony algorithm, greedy algorithm on travel salesman problem

    HTML

  6. raspberrypi-anomalies-detection-test raspberrypi-anomalies-detection-test Public

    A real-time anomaly detection system for Raspberry Pi that monitors sensor data and uses machine learning to detect abnormal behavior patterns.

    Jupyter Notebook