Pulkit Bhuwalka is a seasoned Staff Software Engineer at Google, where he plays a pivotal role in advancing TensorFlow within the Google Brain team. His current focus is on optimizing TensorFlow for mobile systems, ensuring that machine learning models are not only efficient but also...
Pulkit Bhuwalka is a seasoned Staff Software Engineer at Google, where he plays a pivotal role in advancing TensorFlow within the Google Brain team. His current focus is on optimizing TensorFlow for mobile systems, ensuring that machine learning models are not only efficient but also portable and programmable across various devices. This work is crucial as the demand for on-device machine learning continues to grow, enabling real-time processing and enhancing user experiences in mobile applications.
Before his current role, Pulkit made significant contributions to the Android Things initiative, where he was instrumental in launching some of the first Google Assistant-enabled smart devices. His expertise in software project management and system architecture allowed him to navigate the complexities of integrating machine learning capabilities into consumer electronics. Additionally, his experience in Google Payment Fraud involved developing various machine learning models and graph algorithms to combat fraudulent activities, showcasing his versatility in applying machine learning across different domains.
With a robust skill set that includes C#, C++, and Ruby on Rails, Pulkit combines technical prowess with a deep understanding of machine learning principles. His proficiency in Matlab further enhances his ability to prototype and analyze complex algorithms. As he continues to push the boundaries of what's possible in mobile machine learning, Pulkit remains dedicated to creating innovative solutions that empower developers and enhance user experiences across the globe. His journey reflects a commitment to excellence and a passion for leveraging technology to solve real-world challenges.
