Damandeep Singh.
I architect MACH platforms at scale, lead cross-functional engineering teams, and build the AI developer tooling that multiplies output.
Core Impact Metrics
Key technical outcomes from architectural leadership, optimization, and system refactorings. Hover or tap on each card to view the underlying technical solution.
Featured Case Studies
Platform Engineering & Developer Productivity
Staying Sharp — Adobe AEM Platform
Global Platform Modernisation
Latest Insights & Deep Dives
Zero-Latency On-Device AI in React: Chrome Gemini Nano & Prompt API in Production
Building zero-latency, privacy-first React interfaces with Chrome built-in Gemini Nano APIs, window.LanguageModel, local PII sanitization, and resilient hybrid fallbacks.
Building MCP UI: Server-Driven Interactive Widgets for AI Agents
Architecting server-driven generative UI over Model Context Protocol (MCP) using structured JSON schemas, client-side sandboxed rendering, and bidirectional action loops.
Client-Side AI Governance: Architectural Patterns for Policy Enforcement, C2PA Provenance, and DLP in Next.js
A deep dive into embedding production AI governance inside Next.js frontends, covering client-side DLP, OWASP LLM output sanitization, EU AI Act C2PA provenance signing, and audit telemetry.
Looking for a Technical Leader?
Let's discuss how we can scale developer productivity, migrate your systems to modern MACH layouts, or integrate custom AI engineering agents.