Summary
Karansingh Chauhan is a pragmatic data engineering leader with 8 years of experience designing and shipping large-scale, cost-conscious data platforms across AWS and multi-cloud environments. He has architected petabyte-capable ETL and ML infrastructures—owning 20TB+ datasets, deploying open-source data stacks on EKS, and automating 30+ ML pipelines with Airflow, SageMaker and Bedrock—to drive high-revenue analytics. As a former technical lead and machine learning engineer, he blends hands-on systems work with research rigor, having published in IEEE and Springer while pursuing an MS in Applied Computer Science at Dalhousie. Notable behind-the-scenes wins include saving $80K through Spark optimizations and building internal Python packages and Airflow plugins that accelerated data science productivity. Based in Toronto, he’s skilled at turning monoliths into typed microservices, mentoring cross-functional teams, and shipping reproducible ML ecosystems.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Computer Science, Master of Science - MS, Applied Computer Science at Dalhousie University
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Vishwakarma Government Engineering College