Client: Chi’Va Neurotech Role: Fractional CTO & Chief Architect
Challenge
Chi’Va needed to evolve from a proof-of-concept into a secure, enterprise-grade neurotech platform—capable of handling protected health data, real-time AI-driven workflows, and rapid user-base growth, all without ballooning infrastructure costs.
Strategy
- Map every user journey to a services layer and data boundary.
- Adopt a layered cloud pattern—isolating the AI engine, secure data lake, and compliance pipeline behind API gateways.
- Embed “governance-by-design”: infrastructure as code, automated PHI encryption, audit-trail logging, and least-privilege IAM policies.
Execution
- Modular micro-services on AWS Fargate + Lambda for elastic scale.
- Secure data lake (S3 + Lake Formation) partitioned by tenant and epoch.
- Compliance pipeline that hashes every event to an immutable ledger (AWS QLDB) and auto-generates HIPAA access reports.
- Observability stack (OpenTelemetry → Grafana) surfacing SLO drift and inference latency in real time.
- CI/CD with automated threat-model tests and drift detection.
Outcomes
- Platform now serves 10 × user load with <150 ms median latency.
- Passed third-party HIPAA audit on first attempt—zero critical findings.
- Reduced monthly cloud spend 38 % through right-sizing and spot-instance strategies.
- Engineering cycle time dropped from weekly to daily deploys via full IaC pipeline.
Key Capabilities Demonstrated
- CTO-level architecture leadership
- Cloud-native scalability & cost optimisation
- Built-in compliance (HIPAA, SOC 2 groundwork)
- Data-informed product decisions through rich observability