Hi, I'm Shaurya, and here I write about my adventures with data, machine learning and software engineering.
I help engineering-led companies design, fix, and scale production data systems that are reliable and cost-efficient. As a Principal Engineer at a leading fintech, I bring real-world experience in building large-scale data platforms with Kafka, Spark, Snowflake, and cloud-native tools. Whether you need a data architecture audit, platform optimization, or fractional senior support—I offer focused, outcome-driven consulting grounded in production reality.
Principal Engineer • Production Data Systems • Real-World Experience
From data lakes to business insights and machine learning, I've worked on a variety of projects solving complex problems for the companies I've worked for.
I've worked on a variety of projects moving data from various sources to data warehouses and data lakes.
I have experience building scalable and reliable backend systems in various programming languages.
I've designed and implemented real-time data processing pipelines that deliver instant insights from streaming data sources. This is the area I want to explore and learn more about.
With some background in machine learning, I've worked on projects that involved building, deploying, and monitoring machine learning models in production.
Papers, toy projects and fun stuff.