Samuel Kimama,

My work sits where product complexity, team scale, and frontend architecture collide. Companies call me when they need stronger foundations: component contracts, BFFs that absorb backend churn, and design systems that survive team growth.

Across SaaS platforms, enterprise modernization, ML-enabled products, and consumer systems at LinkedIn scale, I work beyond feature delivery. I define architecture, negotiate API contracts with backend partners (GraphQL/BFF where it earns its keep), raise the performance and accessibility bar, and make the frontend a first-class layer instead of a thin client.

The throughline is leverage. Strong systems compound — reducing friction for users and drag for engineers, and making future product bets easier to execute.

Core strengths

• Patented real-time policy enforcement on live AI traffic, proxy-injected on model input and output
• Production surfaces for inspecting live user and LLM conversation traffic
• AI product surfaces enterprise buyers evaluate: incident triage, policy-block notification
• Agent-to-agent loops that terminate: persisted triage state and iteration caps in CI
• Model output shaped for surfaces where a wrong answer is destructive, including natural language to executable shell
• Access control and data-leakage defense for AI systems: RBAC, SOC2 readiness, enterprise SSO
• Seven LLM platform integrations, resilient to UI churn in surfaces I do not control
• LLM developer tools shipped and distributed solo
• Honest tradeoff calls across scope, speed, and long-term complexity
• Long-lived codebases held together by migrations, decomposition, and boundaries that last
• React + TypeScript monorepos, GraphQL BFF contracts
• Features owned end to end: service logic and SQL schema design through to the shipped UI