Sector 01
Government and public sector
Digital identity, citizen-facing services, and platforms that must run on government infrastructure under public sector security requirements.
About SHM
Practical architecture for secure digital change.
SHM helps organizations modernize services, improve cybersecurity, and use AI automation in practical ways.
The work sits where digital transformation meets day-to-day operational pressure: getting services online, securing business systems, and making teams faster without adding confusion.
SHM stays intentionally lean. The value is direct work, practical decisions, and systems that clients can still understand and run after handoff.
Principle 01
Digitize what matters
Start with the workflow, service, or control surface that changes the business fastest.
Principle 02
Security is part of delivery
Protecting accounts, systems, and company tools should happen as part of the work, not as an afterthought.
Principle 03
Keep the system legible
Good consulting leaves behind clearer decisions, better ownership, and less hidden complexity.
Who you work with
Patrick K. SHEMA
Founder · Principal Engineer
Kigali, Rwanda
EnglishKinyarwandaFrench
SHM is led by Patrick K. SHEMA, a DevSecOps and software engineer with over five years of hands-on experience building and running production systems across government, healthcare, and enterprise environments.
That experience covers the full delivery lifecycle: architecture and capacity sizing, integration and security testing, primary and disaster-recovery deployment, go-live, then training, knowledge transfer, and post-implementation support.
Public sector
Hands-on experience with large-scale digital identity and public service platforms running on government infrastructure, under public sector security requirements.
Platform and security
Kubernetes and Helm on government and on-premise infrastructure, GitLab CI/CD, secrets management, image scanning, RBAC and network policies, TLS between services, and monitoring on Prometheus, Grafana, and Loki.
Data and machine learning
Biometric and face matching at scale, embedding extraction and vector search on pgvector, plus ETL pipelines and analytics warehouses behind operational dashboards.
Delivery lifecycle
How the work runs, start to handover.
01
Architecture
System design, capacity sizing, and benchmarking before anything is built.
02
Build and integrate
Implementation against the target platform, with integrations wired in.
03
Test
Integration, performance, and security testing, then user acceptance.
04
Deploy
Primary and disaster-recovery sites, through pilot to go-live.
05
Handover
Training, documentation, knowledge transfer, then support and reviews.
Sectors
Environments this experience comes from.
Sector 02
Healthcare
Clinical and facility platforms, health data pipelines, and indicator reporting for operations, finance, and disease monitoring.
Sector 03
Financial services and insurance
CRM and claims workflows, role-based access for agents and underwriters, rate integrations, and customer messaging automation.
Sector 04
Pharma and distribution
Ordering and order-tracking platforms for manufacturers, pharmacies, hospitals, and distributors, plus management reporting.
Work with SHM