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Peter Grabowski
Austin Site Lead, Enterprise Machine Learning
Professional Background
Peter Grabowski is a distinguished professional in the fields of Data Science and Machine Learning, bringing a wealth of experience and technical expertise to his role as the Austin Site Lead for Enterprise Machine Learning at Google. With a proven track record of leadership in technology-driven environments, Peter has been instrumental in advancing AI initiatives within the organization. His journey through various high-profile positions in both academia and industry has equipped him with a diverse skill set, making him a valuable asset in the tech community.
Peter's career began as a Software Engineer at PHD Virtual Technologies, where he laid the groundwork for his strong technical background. He then transitioned into roles at prestigious organizations such as Johns Hopkins Bayview Medical Center and the Hudson Institute, where he applied his analytical skills in research settings. As he honed his abilities, he took on positions that elevated his influence in the tech sphere, including working as a Tech Lead/Manager in Data Integration at Nest, where he played a key role in integrating data systems to streamline operations and enhance decision-making processes.
Before assuming his current role at Google, Peter served as a Lecturer at his alma mater, the University of California, Berkeley. This position allowed him to share his extensive knowledge of Data Science with the next generation of tech innovators, further establishing his commitment to education and mentorship in the field.
Education and Achievements
Peter Grabowski holds a Master’s Degree in Data Science from the renowned University of California, Berkeley, where he developed a robust understanding of data analysis, machine learning algorithms, and programming languages that drive innovation in technology. Complementing this advanced degree, Peter also pursued undergraduate studies at Princeton University, where he earned a Bachelor of Science in Engineering (BSE), specializing in Computer Science and Neuroscience. This unique combination of fields gives him insight into both the technical and psychological aspects of technology use, particularly in the realm of artificial intelligence.
In addition to his formal education, Peter spent a Semester Abroad at King's College London, School of Medicine, broadening his knowledge of healthcare applications and the interplay between technology and medicine. This experience has enabled him to approach data challenges with a global perspective, a trait that has served him well throughout his career.
Achievements
As a member of the CompTIA National AI Council, Peter Grabowski is at the forefront of shaping policies and practices related to artificial intelligence in the technology sector. His involvement with this council underscores his dedication to not only advancing his own skills and knowledge but also contributing to broader discussions on AI ethics and applications.
Throughout his career, Peter has been recognized for his technical prowess, particularly in programming languages such as C/C++, Java, and Python, as well as his proficiency in using frameworks and tools like Django, SQL, Storm, Spark, and Hadoop. His versatility in handling complex data systems and machine learning models demonstrates his commitment to excellence and his desire to push the boundaries of what technology can achieve.
Peter's extensive experience in research, coupled with his accomplishments in various engineering roles, highlights his strengths as a problem solver and innovator. His ability to navigate the intersection of technology and policy, along with his eagerness to mentor future leaders in tech, positions him as a thought leader in the field of Data Science and Machine Learning.