Performance Engineer
CurrentImproving performance at nanometer level with data-driven modeling.- applied deep-learning for complex mechatronics systems' performance monitoring and optimal control
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Stefano Pregnolato is listed as Deep Tech Engineer - Data-driven modeling, design and optimization at ASML, a with 20849 employees, based in Utrecht, Netherlands. AeroLeads shows a work email signal at outlook.it and a matched LinkedIn profile for Stefano Pregnolato.
Stefano Pregnolato previously worked as Performance Engineer at Asml and Design Engineer at Asml. Stefano Pregnolato holds Master, Digital Transformation Per Il Made In Italy from Talent Garden Innovation School.
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Open-minded, empathic and creative thinker, highly interested in envisioning, designing and implementing innovative human-centred solutions. Constantly aiming at rethinking the state-of-the-art, all my actions are driven by a precise set of values: curiosity, strictness and respect. SKILLS OVERVIEW-- Data Science --I implement device-agnostic Reinforcement Learning algorithns in PYTHON (PyTorch, Pandas, NumPy, CUDA) to find optimal control strategies in complex non-linear systems such as Data Centers HVAC. I can setup data-driven project from scratch and develop maintable code according to SOLID principles. I can manage LINUX machine, train machine learning models and perform hyperparametrization in the cloud (AWS, Azure). I have extensive knowledge in applying Deep Learning algorithns for system identification and time-series prediction. -- Mechatronic Engineering -- I create linear and non-linear control solutions in MATLAB, SIMULINK & SIMSCAPE, starting from the design of experiments for data acquisition, implementing dynamical systems modelling and identification, running mathematical simulations and deploying C/C++ code with Matlab Embedded Coder.-- Innovation --I can coach, hold webinar & live presentations for internal and external knowledge sharing. I like to guide teams, motivate people to maximize performance and present new products. I can perform business models analysis and stay focused on the details without loosing the "big picture". -- Mechanical Engineering --I ideate and realize complex 3D CAD drawings with SOLIDWORKS and perform finite element analysis with SolidWorks Simulations. InterestsLearning Algorithms / Reinforcement Learning /Predictive Maintenance / Model Based Design / Rapid Control Prototyping / Embedded Systems / Data Driven Control / Machine Learning / Identification / Filtering / Digital Control / Modelling / Mechatronic / Mechanic / Junior / Meccatronico / Neuroscience / Bioscience / MIL / PIL / HIL / Genetic Programming / UAV / AI / Process optimization / Automation / Digital Transformation / Manutenzione Predittiva / Prototipazione / Controllo Digitale / Microcontrollori / Sistemi Integrati / Ingegnere / Trasformazione Digitale / ISO 26262 / Identificazione / System Engineering / Digital Officer / Open Innovation / Social Innovation / Design Thinking / Human Centered Design / User Expirience / UX / Business
Listed skills include Leadership, Ricerca, Powerpoint, Meccatronica, and 46 others.
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Veldhoven, North Brabant, Netherlands
Improving performance at nanometer level with data-driven modeling.- applied deep-learning for complex mechatronics systems' performance monitoring and optimal control
Veldhoven, North Brabant, Netherlands
Mapping customer needs onto the desired EUV machine system behavior using:- data- algorithms - digital control
Netherlands
AI-based Data Center Energy Consumption Optimization-- PROJECT DESCRIPTION --Development of reinforcement learning optimization algorithms for data-driven temperature control & energy optimization-- MAIN TASKS --- Identifying ICT's energy-related core challenges - Designing a dynamic model of a data center with PYTHON and MATLAB- Developing and implementing a new controller with MATLAB, SIMULINK- Generating C/C++ code with MATLAB Embedded Coder- Building Deep Reinforcement Learning Algorithm in PYTHON to find the optimal control strategy- Training algorithms in the cloud with AWS SageMaker- Validating the results with real-case scenarios- Coaching business managers and internal teams- Presenting and delivering solutions to clients-- ACHIEVEMENTS --On July 2020 I had the chance to be chosen among the 10 participants for the Siemens AI@Sustainability Hackathon working on: OPTIMIZING BUILDING CONTROL SYSTEMS FOR ENERGY AND COMFORT OPTIMIZATION.I was happy to successfully use my experience to implement an optimal AI-based schedule and control strategy on building equipment (adaptive real-time control of HVAC systems and lighting based on indoor air quality, weather data, occupancy and time of the day) to reduce energy consumption while maintaining comfort.
Netherlands
A unique combination of blended learning content, consulting skills, digital workshops and technical expertise with the focus on enhancing teamwork and cross-collaboration. The program is built on a 1-year approach, mixing classroom, on-the-job experience and online learning content.STEP 1: 4 weeks of learning experience in Geneva Headquarters.During this time, I acquired the skills needed for being a successful consultant alongside other new starters. We went through the process of bringing an innovative idea to life (DESIGN THINKING). We had the chance of pitching our own innovation project to the board. We developed soft skills like agility, communication, presentation, language mastering and similar. I was also provided with unlimited digital classroom lessons with qualified teachers from worldwide recognized education partners.STEP 2: on-the-job experienceI had the chance to develop technical and interpersonal skills in the Data Science R&D team of AKKA Technologies (The Netherlands), working with cutting-edge technologies, building innovative prototypes and continuing my online learning process.
Torino, Italia
Bat-Man Project-- PROJECT DESCRIPTION --Supported by the European Fund for Regional Development (FESR), the project aims at realizing a low-cost device capable of measuring the state of charge (SoC) and the state of health (SoH) of a battery, acknowledging critical condition, elaborating data and keeping the user informed with a smartphone app.-- MAIN TASKS --- Designing and managing the experimental campaign (Design of Experiment) - Implementing physics-based models for battery systems in MATLAB & SIMULINK- On-line parameter estimations on battery models- Implementing BMS algorithms: such as Remaining Useful Life estimation, State of Health Estimation, State of Charge Estimation- Generating high-quality C/C++ code for embedded systems with MATLAB Embedded Coder- Delivering state of art documentation and product showcases
Barolo (Cn), Italy
- Strategy Management - Brand Identity
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Maartje Joosten
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18/03/2019 - 26/07/2019 Digital Strategy & Tools Customer Centricity Data Approach Leadership and Change Management ..."Il Master.
Model-Based Software Design Digital Control Filtering and System Identification Data-Driven Algorithm Developement (Machine Learning).
Activities and Societies: 3-weeks World's Leading Entrepreneurship Program
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Stefano Pregnolato works for ASML.
Stefano Pregnolato is listed as Deep Tech Engineer - Data-driven modeling, design and optimization at ASML.
AeroLeads has found 1 work email signal at @outlook.it for Stefano Pregnolato at ASML.
Stefano Pregnolato is based in Utrecht, Netherlands while working with ASML.
Stefano Pregnolato has worked for Asml, The Akkademy, Brain Technologies, and Cascina Pugnane Dei F.Lli Ghisolfi.
Stefano Pregnolato's colleagues at ASML include John Yim, Attila Lenart, Lourens Groot, Stefano Salvatore, and Reza Absalan.
You can use AeroLeads to view verified contact signals for Stefano Pregnolato at ASML, including work email, phone, and LinkedIn data when available.
Stefano Pregnolato holds Master, Digital Transformation Per Il Made In Italy from Talent Garden Innovation School.
Stefano Pregnolato is listed with skills including Leadership, Ricerca, Powerpoint, Meccatronica, Model Based Software Design, C, Fotografia Professionale, and Progettazione Centrata Sull'Utente.
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