System Design for AI & Data Engineering

Get one-on-one guidance on designing reliable, scalable, and production-ready AI and data platforms.

This session can cover:

1. End-to-end system architecture
2. Batch and real-time data pipelines
3. Data lakes, warehouses, and lakehouse platforms
4. LLM, RAG, vector database, and MLOps architecture
5. Cloud-native design across Azure, AWS, and GCP
6. Scalability, security, governance, and cost optimization
7. Architecture reviews and design trade-offs
8. System design interview preparation

Ideal for software engineers, data engineers, AI professionals, architects, researchers, and teams building enterprise-grade AI or data solutions.

You will receive practical recommendations tailored to your use case, technical constraints, performance needs, and business goals.