Healthcare, Fintech & Cloud Development

Problem

• Clinicians spent excessive time on documentation; generic templates did not match real visits.
• Interfaces to labs and imaging were inconsistent; staff re-keyed results.
• Leadership lacked timely operational KPIs across locations.

Solution

We delivered a modular EMR with role-based access, FHIR-friendly APIs for interoperability, e-prescribing and results workflows aligned to California provider expectations, and an analytics layer for no-show rates, cycle times, and coding completeness—built with HIPAA-aligned logging, encryption, and audit trails.

Problem

• Inconsistent environments across projects: manual clicks in consoles, drift between staging and production, and no shared baseline for security groups or logging.
• Some applications needed AWS (EKS, RDS, S3, Lambda); others were committed to Azure (AKS, Azure SQL, Key Vault, Front Door)—without a clear pattern for CI/CD and secrets in both.
• Cost and reliability surprises after go-live: under-provisioned databases, missing autoscaling guardrails, and limited visibility into cross-service failures.

Solution

We introduced infrastructure as code (Terraform and/or Bicep depending on the estate), environment promotion via pipelines, and centralized observability (metrics, logs, traces) with alerting tied to SLOs. On AWS, we standardized VPC layouts, IAM roles for workloads, and backup/DR patterns for stateful services. On Azure, we aligned private endpoints, managed identities, and landing-zone conventions so new services did not bypass network or key management policy.

Application teams consumed cloud services through documented modules and golden paths—container builds, database provisioning, and secrets rotation—so each new project started from a reviewed template rather than a blank account.