09/02/2024 updated


60 % available
AI Lead Operations
Cubelles, Spain
Worldwide
Master in Computational Engineering and Mathematics, Mechanichal EngineerArtificial IntelligenceComputer VisionAutomationBig DataBusiness EfficiencyBusiness PlanningBusiness Process ImprovementStrategic ManagementCustomer SatisfactionInstrumentationForecastingMachine LearningMaintenanceManufacturingNatural Language ProcessingPredictive MaintenancePredictive ModellingProduction ManagementProject Management Life CycleTechnological ChangeIdeationChatbotsData ScienceDeep LearningSafety Principles
As an AI Lead Operations professional, I bring my experience in designing, developing, and implementing cutting-edge AI solutions tailored to optimize and enhance operational efficiency within industrial settings. My expertise spans across various facets of artificial intelligence, machine learning, and data science, all aligned with a deep understanding of the specific needs and challenges faced by industries today.
1. Development of AI-Powered Chatbots for User Interaction:
One of my key projects involved the development of an AI-powered chatbot aimed at enhancing user interaction and support for our facility's clients. Leveraging natural language processing (NLP) techniques, I designed the chatbot to handle a wide array of user queries, automate common support tasks, and provide instant responses, thereby significantly improving customer satisfaction and reducing the workload on human support staff.
2. Image Classification for Event Detection:
I have successfully developed and implemented image classification models using machine learning and computer vision technologies to monitor and detect specific events within our installations. This project involved training deep learning models on large datasets of images to accurately identify and classify events of interest, such as security breaches, equipment malfunctions, or safety hazards. By deploying these models, we were able to enhance our monitoring capabilities, provide real-time alerts, and proactively address potential issues, thus improving safety and operational efficiency.
3. Predictive Modeling for Alarm and Maintenance Management:
Predictive maintenance is a critical component in industrial operations, and I have developed regression models to anticipate alarms and equipment failures. By analyzing historical data and identifying patterns, I built predictive models that forecast potential issues before they escalate, allowing for timely maintenance and minimizing downtime. These models not only help in extending the lifespan of equipment but also in reducing costs associated with unscheduled repairs and operational interruptions.
4. Backup and Redundancy Systems for Process Instrumentation:
Understanding the importance of reliability and continuity in industrial operations, I have also worked on implementing backup and redundancy systems for process instrumentation using AI. By integrating machine learning algorithms, these systems continuously monitor the health and performance of critical instruments, automatically switching to backup systems in case of detected anomalies. This ensures that operations remain unaffected by failures, maintaining the integrity and efficiency of the production process.
5. Leadership and Strategic Implementation:
As an AI Lead Operations professional, I am not only involved in the technical development but also in the strategic planning and leadership of AI initiatives. I work closely with cross-functional teams to align AI projects with business objectives, ensuring that the solutions developed are scalable, cost-effective, and add substantial value to the organization. My role includes guiding the team through the project lifecycle, from ideation and development to deployment and continuous improvement.
1. Development of AI-Powered Chatbots for User Interaction:
One of my key projects involved the development of an AI-powered chatbot aimed at enhancing user interaction and support for our facility's clients. Leveraging natural language processing (NLP) techniques, I designed the chatbot to handle a wide array of user queries, automate common support tasks, and provide instant responses, thereby significantly improving customer satisfaction and reducing the workload on human support staff.
2. Image Classification for Event Detection:
I have successfully developed and implemented image classification models using machine learning and computer vision technologies to monitor and detect specific events within our installations. This project involved training deep learning models on large datasets of images to accurately identify and classify events of interest, such as security breaches, equipment malfunctions, or safety hazards. By deploying these models, we were able to enhance our monitoring capabilities, provide real-time alerts, and proactively address potential issues, thus improving safety and operational efficiency.
3. Predictive Modeling for Alarm and Maintenance Management:
Predictive maintenance is a critical component in industrial operations, and I have developed regression models to anticipate alarms and equipment failures. By analyzing historical data and identifying patterns, I built predictive models that forecast potential issues before they escalate, allowing for timely maintenance and minimizing downtime. These models not only help in extending the lifespan of equipment but also in reducing costs associated with unscheduled repairs and operational interruptions.
4. Backup and Redundancy Systems for Process Instrumentation:
Understanding the importance of reliability and continuity in industrial operations, I have also worked on implementing backup and redundancy systems for process instrumentation using AI. By integrating machine learning algorithms, these systems continuously monitor the health and performance of critical instruments, automatically switching to backup systems in case of detected anomalies. This ensures that operations remain unaffected by failures, maintaining the integrity and efficiency of the production process.
5. Leadership and Strategic Implementation:
As an AI Lead Operations professional, I am not only involved in the technical development but also in the strategic planning and leadership of AI initiatives. I work closely with cross-functional teams to align AI projects with business objectives, ensuring that the solutions developed are scalable, cost-effective, and add substantial value to the organization. My role includes guiding the team through the project lifecycle, from ideation and development to deployment and continuous improvement.
Languages
EnglishFluentSpanishNative speaker
Project history
Lead the integration of artificial intelligence (AI) technologies into operational processes, driving innovation and efficiency across the company’s operations. Manage and oversee the development and deployment of AI models aimed at enhancing safety, operational efficiency, and predictive maintenance.
Identifying technichal requirements for foreign customers, mainly in Europe
and South America on natural gas facilities for industrial, vehicular and
bunkering applications. Advising on technical specifications, implementation
and operational cost assessment on new facilities and projects.
R+D project supervisor on new products developed with public funds (INEA,
CDTI).
and South America on natural gas facilities for industrial, vehicular and
bunkering applications. Advising on technical specifications, implementation
and operational cost assessment on new facilities and projects.
R+D project supervisor on new products developed with public funds (INEA,
CDTI).
Development, identifying opportunities for foreign customers (worldwide) in
the LNG supply chain, advising on technical specifications, implementation
and operational cost assessment on new facilities for projects to be carried
out.
the LNG supply chain, advising on technical specifications, implementation
and operational cost assessment on new facilities for projects to be carried
out.