ML Platform Architect

Feature Infrastructure · DevSecMLOps · Distributed Systems

I architect production ML infrastructure for regulated industries at enterprise scale—specializing in feature platforms, governance-by-design, and DevSecMLOps patterns that enable velocity without compromising security or observability.

What I Build & Why

• Multi-tenant ML Platforms — Eliminate siloed infrastructure that fragments model delivery and inflates operational cost. Impact: Cuts time-to-production from 3–4 weeks to 5–7 days while enabling secure, governed reuse across 50+ teams without coordination overhead.
• Governance-by-Design Systems — Remove manual compliance reviews that slow experimentation and create audit risk. Impact: Embeds PII controls and lineage directly into pipelines, eliminating manual review steps while preserving developer velocity.
• Unified ML Observability — Shift from reactive firefighting to proactive model reliability. Impact: Correlates performance, drift, and infrastructure health to reduce mean-time-to-recovery by ~90% and prevent customer-impacting outages.
• DevSecMLOps Pipelines — Make security and compliance automatic, not post-deployment gates. Impact: Aligns CI/CD to OWASP/NIST/CIS standards, reducing critical vulnerability escape rates to near-zero without slowing release cycles.

Architecture Showcase

• Distributed Feature Engineering Platform
• PII Governance in Production ML
• ML Observability & SRE Patterns

Public Work & GitHub

• Case Studies & Architecture Docs
• Architecture Decision Records
• Open-Source MLOps Stack

Connect

LinkedIn: linkedin.com/in/felix-isaiah
GitHub: github.com/felix-mutinda

“The best platform architecture solves constraints, not just technical problems.”