I build the secure, scalable platforms that production agentic AI systems run on. 20+ years across telecommunications and banking — currently building petabyte-scale cloud platforms and writing LangChain agents, MCP integrations, and AI-powered automation on top of them.
How I protect 15+ projects across Python, JavaScript, and Rust from supply chain attacks using a three-layer defence: registry-level delays, automated PR scheduling, and lockfile discipline.
Convention-driven PRD-to-HLD-to-LLD pipelines and why schema-gen should be your first commit.
Start from a single business SLA — data freshness under 60 seconds — and trace backwards through dependency trees, metadata layers, known-error memory, and automated fixes to build an AI-operated production platform.
Uptime tools tell you a service is running. Gatus tells you the data pipeline is actually working. How I use 73 custom health checks to monitor infrastructure, data freshness, and pipeline completeness.
Building a benchmarking utility for shuffle and network transfer metrics in Databricks clusters.
A detailed account of upgrading a large Telco Hadoop cluster from HDP 2.6.4 to 3.1.5, covering practice runs, planning strategies, and lessons from executing the upgrade during COVID remote work.
Writing since 2011 — 37 posts across 9 years.