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Alir Navid

Executive CTO specializing in FinTech, Healthcare IT, and AI platforms

Irvine, CAChief Technology Officer19 years experienceExecutiveFinTechHealthcare ITArtificial Intelligence
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About

Engineering/product leader who builds business-aligned technology roadmaps and scales pod-based orgs with strong delivery discipline (OKRs, CI/CD, QA automation). Led a SaaS supply-chain application adopted by Fortune 100 customers, citing ~$4M MRR and ~87% gross profit, and has hands-on experience standardizing LLM + cloud/MLOps architectures with security/compliance guardrails. Also created the PISEK methodology and used it to run distributed innovation sprints (e.g., an AI ETA predictor moved from pilot to production).

Experience

Chief Technology OfficerAphid Inc.
Chief Technology OfficerZuum Transportation, Inc.
Enterprise Architect (Contract)Nationwide Insurance
Chief Technology OfficerElfintie Inc.
Chief Technology OfficerASTPOWER LLC
Chief Technology OfficerAPHID
Enterprise ArchitectNationwide Insurance
Senior Technology RolesCapital Group
Senior Technology RolesPeopleSupport
Senior Technology RolesMercury Insurance

Education

University of Phoenixmaster, Technology & Finance
Western Connecticut State Universitybachelor, Management Information Systems

Key Strengths

  • Built and executed tech roadmaps tied to measurable business outcomes (ICE/ROI, KPIs)
  • Delivered SaaS supply-chain product adopted by Fortune 100; generated $4M MRR and ~87% gross profit
  • Customer-discovery-driven product execution (focus groups, validated pain points, KPI-based epics)
  • Scaled engineering org using product-aligned pods with Agile/Jira, CI/CD, QA automation, and clear Definition of Done
  • Hiring and performance system design (scorecards, work samples, 30/60/90 MBO) to protect culture
  • Balanced hands-on architecture/code review with executive responsibilities (fundraising narrative, stakeholder dashboards/updates)
  • Led LLM + managed cloud platform selection with compliance/security focus; integrated into CI/CD with monitoring and RBAC
  • Improved velocity and reliability by addressing LLM hallucinations/latency via verifier layer, edge caching, and hybrid/private inference architecture
  • Remote/distributed innovation leadership; ran 6-week innovation sprint delivering AI ETA predictor to production using PISEK and KPI thresholds

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Languages

English

Skills

Enterprise ArchitectureMulti-Cloud ArchitectureAmazon Web Services (AWS)Google Cloud Platform (GCP)Site Reliability Engineering (SRE)ObservabilityBusiness Continuity Planning (BCP)Disaster Recovery (DR)CybersecurityCompliance ManagementSOC 2HIPAAPCI-DSSNIST Cybersecurity Framework (NIST CSF)Privacy