Nikhil Prasad is a seasoned Senior Platform Product Manager at Amazon, where he leverages over 13 years of extensive experience in New Product Introduction, Functional Safety, and applied Artificial Intelligence and Machine Learning (AI/ML). In his current role, Nikhil spearheads the development of cutting-edge routing...
Nikhil Prasad is a seasoned Senior Platform Product Manager at Amazon, where he leverages over 13 years of extensive experience in New Product Introduction, Functional Safety, and applied Artificial Intelligence and Machine Learning (AI/ML). In his current role, Nikhil spearheads the development of cutting-edge routing and planning solutions that enhance the efficiency of last-mile delivery and pickup operations for billions of packages worldwide. His leadership of dynamic, cross-functional teams comprising technology experts, data scientists, and program managers has been pivotal in driving innovative strategies that optimize vehicle routing and stop sequencing.
Nikhil's expertise in AI product management allows him to effectively integrate core algorithms and ML-driven techniques into practical applications, ensuring that safety and efficiency are at the forefront of Amazon's logistics operations. His strategic vision encompasses not only the technical aspects of product development but also a keen understanding of global logistics and industrial automation, enabling him to navigate complex challenges and implement continuous improvement initiatives.
With a strong foundation in Electrical Engineering and Industrial Engineering, Nikhil is adept at utilizing tools like Minitab for data analysis and process optimization. His leadership skills are complemented by a robust business strategy acumen, making him a key player in shaping the future of last-mile AI technologies at Amazon. Through his innovative approach and commitment to excellence, Nikhil continues to drive transformative changes that enhance operational efficiencies and elevate customer experiences in the fast-paced logistics landscape.
