I’m Yuval Gabay, an MLOps Team Lead at WSC Sports, focused on turning ML research into reliable, observable, cost-efficient production systems.

My work sits at the intersection of platform engineering, production ML, and data/metrics-driven operations. I lead initiatives that improve how models are deployed, monitored, scaled, and iterated—with an emphasis on resilience, developer experience, and measurable business impact.

What I care about

• Building production-grade ML platforms: CI/CD, versioning, reproducibility, and safety rails
• Observability-first MLOps: metrics/logs/traces, SLOs, and fast incident response
• Autoscaling & efficiency: right-sizing, load-aware scaling, and cost/perf tradeoffs
• Enabling teams with templates, golden paths, and paved roads
• Pragmatic adoption of GenAI for ops: summarizing time-series metrics, anomaly context, and actionable insights

Languages

Development Tools

Platform / Infra

Observability

Cloud

Agent Systems

• Goal: Extract structured insights from GitLab CI pipelines
• What I did: Built a lightweight Rust tool for pipeline analysis
• Stack: Rust • GitLab CI
  🔗 github.com/GuitaristForEver/cilens

• Goal: Orchestrate AI minions to execute tasks safely in parallel
• What I did: Fast, coordinated, contract-driven task execution system
• Stack: JavaScript • AI Agents
  🔗 github.com/GuitaristForEver/minion-hive

• Goal: Learn modern application development on AWS
• What I did: Infrastructure as code, containers, serverless, CI/CD
• Stack: AWS • Docker • Serverless
  🔗 github.com/GuitaristForEver/aws-modern-application-workshop

• Goal: Event-driven scaling for Kubernetes containers
• Stack: Kubernetes • Event-Driven Architecture
  🔗 github.com/GuitaristForEver/keda

• GenAI-assisted ops for time-series: anomaly summaries + suggested next steps
• Better autoscaling signals for ML services (beyond CPU/RAM)
• Developer experience improvements for ML shipping velocity
• AI Agents & orchestration systems

When I'm not coding, you might find me playing guitar! 🎸 I'm also passionate about music technology and exploring the intersection of audio and software.