Kayvan Shah

United States of America

About Me

Dedicated to driving innovation and efficiency, I am committed to translating ideas into impactful solutions. My passion lies at the intersection of engineering and business, propelling my quest to explore uncharted territories and enact meaningful change. As a self-taught data engineer currently pursuing a Master's in Applied Data Science at the University of Southern California, I am deeply enthusiastic about the transformative potential of AI. My expertise encompasses Data Engineering, Machine Learning, MLOps, and Platform Engineering, driven by the belief that data insights empower strategic decision-making. Over the years, I have contributed to startups, spearheading the development of data and ML intelligence platforms. This involved crafting robust data and ML pipelines, establishing data warehouses, automating workflows on cloud platforms such as AWS and GCP, and deploying infrastructure using Infrastructure as Code. My commitment extends to promoting the best development and testing practices alongside a crucial role in documenting and standardizing data processes. Key domains of interest include natural language processing (NLP), computer vision, and geospatial analysis, focusing on applications within the healthcare, logistics, energy, and infrastructure development industries. Let's connect and explore how our shared interests and expertise can contribute to innovative solutions.

Overview