Marcos Cedenilla

Personal Information

Name: Marcos Cedenilla Bonet

Email: marcoscedenillabonet@gmail.com

Professional Summary

Having completed my studies, I am currently working as an AI Engineer, specializing in the Generative AI sector. My strengths include strong leadership skills, empathy, and a high work ethic, which enable me to collaborate effectively with diverse teams and drive innovative projects to successful completion. I am able to adapt quickly to changing environments and always strive for continuous improvement, both individually and as part of a team.

Certifications

• AWS Cloud Foundations (2023)
  • AWS Cloud Foundations Certified with key knowledge in cloud computing, core AWS services, and security principles. Experienced in implementing and managing cloud solutions with a focus on resource optimization, scalability, and security compliance.

Education

• Bachelor's Degree in Data Science and Artificial Intelligence (Sept 2020 - July 2024)
  • UPM, Madrid
  • First graduating class of this program, focused on data analysis and AI management and development, using programming languages such as Python, with honors in Machine Learning I.
• Master in Visual Analytics and Big Data (Aug 2024 - Present)
  • UPM, Madrid
  • Master's in Big Data from UNIR, with comprehensive training in data infrastructures, advanced analytics, interactive visualization, and decision-making. Specialization in artificial intelligence techniques, large-scale data processing (Hadoop, Spark), and visualization (Tableau, Power BI). Proficient in databases (MongoDB, Cassandra) and programming (Python, R). Dual degree in Artificial Intelligence applied to cognitive systems.

Professional Experience

• AI Engineer (Aug 2024 - Present)
  • MTP, Madrid
  • As an AI Engineer at MTP, I specialize in researching and developing new solutions for anomaly detection and data generation using deep learning techniques. My work focuses on leveraging advanced AI technologies to create innovative models that can identify and analyze unusual patterns in data, as well as generate synthetic data to improve machine learning applications. This role places me at the forefront of cutting-edge developments in Generative AI, where I am continuously exploring new methodologies to improve the accuracy and efficiency of our systems.

Skills

• Programming Languages: Python, R
• Frameworks and Technologies: Hadoop, Spark, TensorFlow, PyTorch
• Databases: MongoDB, Cassandra
• Visualization Tools: Tableau, Power BI
• Cloud Services: AWS
• AI and Machine Learning: Deep Learning, Generative AI, Anomaly Detection
• Soft Skills: Leadership, Team Collaboration, Adaptability, Continuous Improvement