Paul K.

Paul K.

Platform Architect / Engineer @ Confidential

About Paul K.

Paul K. is a Platform Architect and Engineer with over 15 years of experience in developing enterprise-scale solutions across various industries, including healthcare and finance. He holds a Master's degree from Arizona State University and has worked in prominent roles at companies such as Boston Consulting Group, Charles Schwab, and Microsoft.

Work at Confidential

Currently, Paul K. serves as a Platform Architect / Engineer at Confidential, a position he has held since 2022. He operates in the San Francisco Bay Area in a hybrid work environment. In this role, he utilizes a diverse tech stack that includes Node, Python, Vue, and Go. His responsibilities involve designing and implementing enterprise-scale solutions, with a particular focus on AI, ML, IoT, Cloud, Data, and Edge computing.

Education and Expertise

Paul K. holds a Master's degree from Arizona State University and a Bachelor's degree from the University of Wyoming. His educational background supports his extensive expertise in building enterprise-scale solutions. He has over 15 years of experience in various industries, including healthcare, broadcasting, and finance. His technical skills include proficiency in Hyperledger fabric, a blockchain framework, which he applies in his current role.

Background

Paul K. has a diverse professional background, having worked in various roles across multiple organizations. He began his career as a Senior Software Development Engineer at Microsoft from 2006 to 2009. He then transitioned to roles as a Principal Consultant at several companies, including Boston Consulting Group, Charles Schwab, and EY. His experience also includes positions at USAA, Digi-Key Electronics, and Toyota Motor Corporation, where he focused on cloud architecture and machine learning.

Achievements

Throughout his career, Paul K. has led large technical initiatives and teams, demonstrating strong leadership skills in the technology sector. His work has spanned various high-impact projects in enterprise-scale solutions, particularly in the fields of AI, ML, IoT, Cloud, Data, and Edge computing. His contributions have been instrumental in shaping the systems and teams he has worked with across different industries.

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