GL

Gabriel Licks

Gabriel Licks


AI Engineer
Cambridge, England, United Kingdom

Professional Overview


Gabriel Licks is an accomplished AI Engineer with a strong focus on developing innovative solutions in the technology industry. He possesses a diverse skill set spanning machine learning, deep learning, and data engineering, which he leverages to drive impactful projects and advance the field of artificial intelligence.

Experience Summary



Current Roles


AI Engineer, Fetch.ai (2024-07-01 to Present)
  • Designing and implementing cutting-edge AI models and algorithms to enhance the company's blockchain-based decentralized network

  • Collaborating with cross-functional teams to identify and solve complex business challenges through the application of AI technologies

  • Contributing to the research and development of new AI-powered products and services, driving innovation within the organization


Conference Peer Reviewer, No company (2021-01-01 to Present)
  • Providing expert reviews and feedback for research papers submitted to leading AI and machine learning conferences

  • Assessing the technical merit, originality, and potential impact of submissions to help curate high-quality programs


Ph.D. Student, Sapienza Università di Roma (2020-11-01 to Present)
  • Conducting cutting-edge research in the field of deep learning and its applications to real-world problems

  • Collaborating with renowned academics and industry experts to push the boundaries of AI technology

  • Disseminating research findings through publications in peer-reviewed journals and conference presentations


Past Roles


Guest Lecturer, Sapienza Università di Roma (2022-11-01 to 2022-11-01)
  • Delivered lectures on the latest advancements in AI and machine learning to undergraduate and graduate students

  • Shared practical insights and case studies to enhance the students' understanding of AI-driven innovation


Visiting PhD Student, Ben-Gurion University of the Negev (2023-01-01 to 2023-03-01)
  • Participated in joint research projects with leading experts in the field of reinforcement learning

  • Gained exposure to diverse perspectives and approaches in the field of AI, broadening his research horizons


Research Fellow, SAP (2018-08-01 to 2022-04-01)
  • Played a pivotal role in the development of AI-powered business applications, contributing to the enhancement of SAP's product portfolio

  • Spearheaded the implementation of novel deep learning techniques to improve the accuracy and efficiency of enterprise-level solutions


Undergraduate Research Fellow, Universidade de Passo Fundo (2014-03-01 to 2018-06-01)
  • Conducted cutting-edge research in the field of computer vision, with a focus on object detection and image recognition

  • Collaborated with faculty members and industry partners to translate academic research into practical applications


Academic Background


Gabriel Licks is currently pursuing a Ph.D. in Computer Science at the Sapienza Università di Roma, where he is specializing in deep learning and its applications. He holds a Master's degree in Computer Engineering from the Universidade de Passo Fundo, where he graduated with distinction.

Areas of Expertise


  • Machine learning and deep learning algorithms

  • Computer vision and image recognition

  • Natural language processing and generation

  • Reinforcement learning and its applications

  • Blockchain and decentralized systems

  • Research and development in AI and technology


Professional Impact


  • Developed innovative AI models that improved the efficiency and accuracy of enterprise-level business applications, resulting in measurable cost savings and enhanced user experiences

  • Authored and co-authored several high-impact research papers published in prestigious journals and conference proceedings

  • Delivered guest lectures and presentations at leading academic institutions, sharing insights and inspiring the next generation of AI researchers and engineers

  • Contributed to the advancement of the AI field through active participation in conference peer review processes, helping to curate cutting-edge research programs


Conclusion


With a strong academic background, a proven track record of success in industry, and a passion for driving AI-powered innovation, Gabriel Licks is poised to make significant contributions to the field of artificial intelligence. He is dedicated to leveraging his expertise to develop transformative solutions that harness the power of AI to solve complex real-world challenges.