hi, I'm Ayush Goyal
Senior Software Engineer
Veza (ServiceNow) | Ex-Microsoft Azure
Distributed Systems • Cloud Platforms • AI Engineering • Developer Productivity
I build large-scale cloud systems that improve reliability, observability, and automation for millions of users. Over the past decade, I’ve delivered high-impact engineering outcomes — including multi-million-dollar savings, cloud-scale API systems, and AI-powered diagnostics platforms across Azure and enterprise platforms.
Jack of all trades, master of some!
Duolingo 109d streak (Español)
Highlights
• 10+ years building and operating large-scale distributed systems across Microsoft Azure and enterprise cloud platforms• Delivered $2M/month cost savings through an Azure ticket deflection system (REST APIs, full-screen troubleshooting UX, and Grafana/Azure Monitor observability)• Architected Azure’s centralized metadata platform, adopted by 40+ product teams• Built Azure Copilot’s engagement & observability pipeline (50+ Kusto queries + real-time availability/latency alerting)• Designed high-severity escalation system supporting JEDI/strategic customers• Strong focus on AI-assisted automation, developer productivity, and clean engineering practices• IEEE/HU mentor and advisor, supporting engineering students and early-career developers
Expertise
• Distributed Systems & Cloud Architecture• High-SLA Backend Engineering• AI Engineering & Troubleshooting Automation• Identity & Access Governance (Veza → ServiceNow)• Data Engineering & Kusto Analytics• Developer Productivity Systems• Security Audits & API Hardening• Mentoring
Impact Projects
Azure Portal Ticket Deflection
Outcome: Increased KPI by 7%, contributing to ~$2M savings
Built: REST APIs, troubleshooting flows, observability layer
Impact: Reduced support load; improved user experience at scaleAzure Copilot Engagement & SLA Observability
Outcome: Real-time AI usage insights for leadership
Built: 50+ Kusto queries, availability/latency alerting
Impact: Supported SLA adherence for AI-powered workflowsUnified Azure Metadata Platform
Outcome: Adopted by 40+ engineering teams
Built: Automated sync pipelines, robust test coverage
Impact: Eliminated duplication + standardized metadata across AzureHigh-Severity Support Escalation System
Outcome: Faster response time for JEDI & strategic customers
Built: Backend APIs, UI flows, cross-team specifications
Impact: Enterprise-grade reliability for critical workloads
Leadership & Community
• IEEE/HU Mentor — supporting students in AI, distributed systems, and cloud careers• Architecture reviews + mentored junior engineers at Microsoft Azure• Advisor on engineering productivity and automation practices
Available for interviews, speaking opportunities, and expert commentary on cloud engineering, developer productivity, and AI-assisted automation.