About Shayan
Platform engineering and cloud architecture for systems where product ambition, customer reality, security, reliability, and business outcomes collide.
Approach
Start with the real constraint. The customer workflow. The business risk. The delivery pressure. The team’s current operating model. The cost envelope. The security boundary.
Architecture follows from there.
The goal is not a beautiful diagram that dies in production. The goal is a system that can be shipped, operated, explained, recovered, and improved without depending on heroics.
Capabilities
Architecture, ownership boundaries, standards, runbooks, and reusable patterns that let teams ship faster without turning production into a private ritual.
Observability, escalation paths, recovery discipline, and pragmatic SRE practices for systems where downtime, drift, and silent failure are not acceptable.
Cloud architecture and FinOps work that connects spend to product reality. Capacity, tagging, lifecycle policies, rightsizing, and guardrails that protect margin as usage grows.
Secure defaults, access discipline, audit evidence, vendor review, change control, and controls that support delivery instead of becoming theatre.
Production foundations for AI-enabled workflows across decision systems, causal modeling, automation, data pipelines, demos, onboarding paths, and customer-facing delivery.
Differentiators
Product systems usually break at the seams; identity, data, runtime, deployment, cost, observability, security, and ownership. The work focuses on those seams before they become production failures.
Technical decisions get tied back to business objectives, risk, cost, timing, and adoption. Enough detail for engineers to trust it. Enough clarity for leadership to act on it.
Every hard-won fix should make the next deployment cleaner. Modules, templates, runbooks, defaults, and handoff material turn individual effort into team leverage.
Fast does not have to mean sloppy. Secure does not have to mean slow. A regola d’arte means the work is shipped, but also explainable, maintainable, and worth keeping.
Proof
Case studies showing measurable impact: cost reduction, reliability improvements, and faster delivery.
Trajectory
Digital Management studies focused on aligning product strategy with engineering execution. Built foundation in network engineering and full-stack development.
Led enterprise blockchain projects (Hyperledger Fabric) and compliance-heavy infrastructure. Developed expertise in regulated environments and security frameworks. Focused on automotive cybersecurity and regulatory compliance (ISO/SAE 21434, UNECE WP.29). Designed AI-driven threat analysis platforms and automated security assessment workflows.
Moved into platform ownership across cloud architecture, Kubernetes, infrastructure automation, reliability, security, FinOps, and operating models for production workloads.
Focused on applied AI workflows, causal decision systems, data and DAG flows, customer-facing delivery, and the operating layer that makes advanced systems usable in serious environments. Partnering with founders and engineering leaders across Europe and the US. Microsoft Certified Trainer delivering cloud, security, and platform engineering programmes.
