Selected work

Things I've built.

Each case study below is a system running in production. Specifics are anonymized for NDA — the architecture, role, and scope are real.

01Multi-cloud platform · enterprise software vendor

AI-powered cloud patch management

Role · Lead Architect

An intelligent patch management platform that automates software patching across cloud servers. Machine learning drives scheduling, vulnerability detection, and conflict prediction — keeping cloud infrastructure secure and up-to-date while minimizing impact on system performance.

Key features
  • AI-driven patch scheduling using ML on server usage patterns
  • Automated vulnerability detection via continuous scans
  • Predictive patch workflow flagging conflicts from historical data
  • Centralized dashboard for patch status, compliance, and system health
  • Smart downtime forecasting aligned to low-traffic windows
  • Automated compliance reporting for ISO and HIPAA standards
  • Multi-cloud orchestration across AWS, Azure, and GCP
Target audience
  • Large enterprises managing thousands of cloud servers
  • Managed Service Providers offering security services
  • SaaS companies in regulated industries (healthcare, finance)
  • Cloud infrastructure teams seeking AI-powered efficiency
Market needs
  • Security compliance
  • IT resource optimization
  • Reducing downtime costs
  • Data breach prevention
  • Scalability
AWSAzureGCPKubernetes.NETML
02Cloud monitoring · hybrid IT operations

Multi-tier infrastructure observability

Role · Architect & Lead Engineer

Real-time oversight of an organization's entire IT environment. Tracks performance, health, and availability across servers, networks, databases, and applications. Automated alerts and anomaly detection let teams resolve issues before they hit business operations. Modular design scales from SMB to enterprise.

Key features
  • End-to-end monitoring across servers, networks, databases, and apps
  • Automated alerts and anomaly detection across the stack
  • Performance dashboards with actionable analytics
  • Modular, horizontally-scalable architecture
  • Centralized observability across hybrid IT environments
  • Auto-discovery and proactive incident routing
Target audience
  • IT operations teams running hybrid cloud environments
  • Mid-market SaaS platforms approaching enterprise scale
  • Enterprises needing 24/7 infrastructure reliability
Market needs
  • System uptime and availability
  • Proactive issue detection
  • Hybrid IT environments
  • Resource utilization
  • IT security posture
  • Scalability and adaptability
GrafanaPrometheusRedisTerraformDockerReactGo
03Digital transformation · emerging-market education sector

End-to-end education platform

Role · Solutions Architect

An integrated school management platform built to digitize and streamline academic and administrative workflows. Unifies student data, fee management, scheduling, communication, and reporting in a single system — purpose-built for the constraints of an emerging-market education context.

Key features
  • Centralized Student Information System with secure real-time updates
  • Automated gradebook and report card generation
  • Timetable and resource scheduling with conflict prevention
  • Parent-teacher communication portal with real-time updates
  • Fee management with automated invoicing and payment tracking
  • Library and resource management with inventory control
  • Mobile access for admins, teachers, parents, and students
Target audience
  • Primary and secondary schools digitizing operations
  • School administrators managing data, fees, and reporting
  • Parents tracking academic performance and attendance
  • Teachers needing simplified scheduling and grading tools
Market needs
  • Operational efficiency
  • Digitization and paperless operations
  • Attendance and performance monitoring
  • Communication channels
  • Financial management and accountability
  • Scalability for growth
.NETReactMSSQLMobile