Design · Implement · Scale
Expertise
01 AI Integrations Custom AI tools, RAG, and self-hosted stacks — scoped and audited ↓ 02 DevOps Enterprise Kubernetes, GitOps, data pipelines, AWS & GCP ↓ 03 Backend Multi-tenant APIs, integration bridges, SQL & NoSQL at scale ↓Wiring AI into production systems — safely. Retrieval grounded in your own data, custom tools with strict scoping, and self-hosted stacks you actually own.
Integrate AI into the customer-support tools, knowledge bases, and data sources you already run — so every answer is grounded in real context, not the model's guesses.
Purpose-built tools that act on your systems within strict permission boundaries — designed for multi-tenancy and full audit trails, so you always know what the AI did on its own, what was human-supervised, and what a person did directly.
Stand up self-hosted AI on your own infrastructure, with token-usage tracking and budgets that keep spend visible and under control.
Stack
Infrastructure that stays up — and that you can actually own. Enterprise-grade Kubernetes, GitOps delivery, and data platforms built on solid open-source foundations.
Custom Kubernetes cluster setup and ongoing management, tuned to your workloads and built to scale without drama.
GitOps workflows for Kubernetes and other platforms — every change reviewed, versioned, and auditable, with rollbacks that just work.
DevOps tooling shaped around your needs from self-hosted open-source solutions — no lock-in, full control of your stack.
Cloud support across AWS and GCP, plus data pipelines and workflow platforms — Airflow, Prefect, n8n, Supabase and more — wired to move your data reliably.
Stack
Backends built to scale — multi-tenant platforms, integration bridges between systems that were never meant to talk, and data models that hold up under load.
Relationship-based access control across multi-organization models — fine-grained, role-scoped security where every tenant stays isolated by design.
REST APIs and services consumed by web frontends and AI layers alike — documented, tested, and versioned for the long run.
SOAP-to-REST for legacy systems, healthcare standards (FHIR, OpenHIM, OpenClinica), and multi-channel comms bridges — connecting systems that were never meant to talk.
SQL & NoSQL data modeling and query optimization for high-traffic systems, plus messaging with Kafka and RabbitMQ for decoupled, resilient flows.
Stack
Marvin leads Eigen Byte's engineering work — five years building multi-tenant healthcare platforms, integration bridges, and AI-integrated backends across East & West Africa. He pairs deep backend expertise with hands-on DevOps and a pragmatic approach to shipping AI into production.
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