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
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.
Evolving Google Open Knowledge Format to v0.2: Agentic Trust & Signals
How OKF v0.2 tackles agentic trust, provenance, trust tiers, staleness, and anti-hallucination Attested Computations in AI knowledge graphs.
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Let's discuss how we can scale developer productivity, migrate your systems to modern MACH layouts, or integrate custom AI engineering agents.