About

Prakhar Pandey is a highly skilled and experienced ML Engineer with a passion for Machine Learning and Data Science. With a Master's degree in Computer Science from the University of California and a Bachelor's degree in Computer Science from IIT Roorkee, Prakhar has a solid educational foundation in the field. Prakhar has 3.70 years of relevant experience, and he is currently working as a Machine Learning Engineer at Workday. In this role, he is responsible for developing and designing software engineering and ML applications. He also builds and maintains large-scale distributed systems to support the entire pipeline of data collection, training, deployment, and real-time serving, integrating them with in-house systems using open-source tools like Kubernetes and Tensorflow. Before joining Workday, Prakhar worked as a Machine Learning Engineer at Aisera, where he mediated teams of Data Scientists and Software Developers. He was responsible for designing and developing software engineering and ML applications, building and maintaining large-scale distributed systems, and integrating them with in-house systems using open-source tools like Kubernetes and Tensorflow. Prakhar has also worked as a Data Scientist at Teradata, where he researched, designed, and developed distributed machine learning algorithms for big data analytics. He deployed these algorithms on Teradata MLE (machine learning engine) using MapReduce. Prakhar's Tech Stack includes ML, Data Scientist, Kubernetes, Tensorflow, Research Scientist, MapReduce, and Big Data. With his education and experience, Prakhar is highly skilled in these areas and is always looking for new opportunities to expand his knowledge and skills. Prakhar is looking for opportunities in the field of Machine Learning and Data Science, and his LinkedIn profile showcases his skills, experience, and projects. He is a dedicated and hardworking professional who is always eager to take on new challenges and contribute to the success of his team and organization.