I'm Sai Krishna Pulipaka, and I focus on building practical machine learning systems that solve real-world problems at scale. My work spans from research and experimentation to production deployment of ML systems.

My interests lie in applied machine learning, particularly in areas like:

• Large-scale ML system architecture and deployment
• Model optimization and performance tuning
• MLOps and production ML pipelines
• AI-powered developer tools and automation

Through this blog, I share insights from building and scaling ML systems in production environments. I write about the practical challenges, solutions, and lessons learned from implementing machine learning at scale.

My posts focus on actionable insights rather than theoretical concepts - covering everything from model development and training to deployment strategies and monitoring in production.