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Hiring Engineers in 2025: What Actually Works

Hiring Engineers in 2025: What Actually Works

Entry-level engineering jobs are down 60% since 2022. What I look for when hiring, how I run interviews, how I keep people, and the hire I regret most.
Venkatesan Ramachandran 12 Apr 2026
MCP, A2A, and the Protocol Layer for Enterprise Agents

MCP, A2A, and the Protocol Layer for Enterprise Agents

MCP connects an agent to tools and data. A2A lets agents work with other agents. If you run agents at work, you need to know which problem each one solves.
Venkatesan Ramachandran 12 Apr 2026
Why Data Mesh Failed the First Time and How We Fixed It

Why Data Mesh Failed the First Time and How We Fixed It

Our first data mesh looked great in slides and was dead in six months. What went wrong, what we changed the second time, and what I would do if starting now.
Venkatesan Ramachandran 12 Apr 2026
Building an Enterprise LLM Platform That Actually Ships

Building an Enterprise LLM Platform That Actually Ships

Most enterprise LLM projects die in pilot. To get one into production, start with evals and watch the cost. Expect RAG to be harder than the blog posts say.
Venkatesan Ramachandran 12 Apr 2026
Event-Driven Intelligence: Moving Retail Decisioning from Batch to Real-Time

Event-Driven Intelligence: Moving Retail Decisioning from Batch to Real-Time

Retail teams often decide on yesterday's batch report. What it took to move those decisions onto live Kafka events, and what "hours to milliseconds" means.
Venkatesan Ramachandran 12 Apr 2026
MLOps at Scale: How We Made Model Deployment Routine

MLOps at Scale: How We Made Model Deployment Routine

How we made model deployment routine: automated gates, canary releases and self-promoting models. The automation helped. The culture fight mattered more.
Venkatesan Ramachandran 12 Apr 2026

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