Ronald Nyami
📍 Switzerland · Portfolio & public work
GenAI platforms, agentic workflows and governance — from strategic requirements to secure production systems.
10+ years across data, machine learning and enterprise technology · regulated financial services · cloud-native delivery · LinkedIn ↗
Selected work
01
productionEvaluate, compare and trace LLM configurations in a secure, regulated environment
→ From internal prototype to a reliable, reproducible, production-operable solution.
02
productionShared Dataiku platform: dev, pre-production, production — reliability, L3 support and reusable standards
→ A reliable shared data-science platform for regulated workloads — separated environments, reusable deployment standards, coordination across infrastructure, security and business.
03
productionCopilot Studio, Power Automate, secure authentication and governed enterprise integration
→ Conversational solution progressed from POC to production — secure authentication, controlled ingestion, maintainable workflows, reusable patterns.
04
paper tradingMulti-agent research and paper-trading validation behind deterministic risk, approval and audit controls
→ Split architecture agents / risk engine — hard kill switch · paper validation before real capital.
05
liveHow I run agentic AI on a $5/day budget — with a public kill switch
→ AI budget controlled to the cent: per-visitor / per-session / site caps, hard kill switch, public costs on /eval.
06
deliveredRebuild of a multi-office EU platform, zero downtime
→ Migration without downtime + removal of the proprietary-vendor lock-in — lower operating cost and full control of the stack regained.
07
production100+ shorts produced automatically, 4 platforms
→ 100+ shorts produced with no manual step — automated multi-platform pipeline, cadence held without a human operator.
Capabilities
What I practice — and, separately, the selected technologies.
Production and professional delivery
Architecture and applied research
About
📍 Switzerland
Enterprise GenAI applications from ingestion to deployment — architecture, governance and delivery from one hand.
« Translating business challenges into production-grade GenAI systems — legible all the way up to executive audiences. »
AI Engineer & Architect based in Switzerland, with more than ten years across data, machine learning and enterprise technology, including extensive experience in regulated Swiss banking.
I work across architecture and delivery: translating business, risk, security and operational requirements into GenAI applications, agentic workflows, enterprise APIs and cloud-native AI platforms.
My contribution includes solution design, reusable engineering patterns, platform reliability, technical guidance, stakeholder alignment and the transition from experimentation to maintainable production systems.
This portfolio combines anonymised enterprise work, independent architecture research and publicly shareable client delivery. Claims are separated by status: production, delivered, research, simulated or proposed reference architecture. Built with Astryx (Meta, open source).
Outside work: alpine hiking (Switzerland · France · Italy), checkers, football.
Astryx v0.1.7 · Built for people and agents GitHub ↗ Storybook ↗ Sandbox ↗ Docs ↗
Values
Clear status, traceable decisions and measurable operational results.
Identity, auditability, least privilege and controlled deployment.
Evaluation, telemetry, cost control, incident response and rollback.
Patterns and platforms other teams can understand and maintain.
Contact
A project, an architecture question, an exchange — reach out.
Live operations
Real site telemetry (public endpoints, refreshed 60s). Budgets and kill switch = persistent global data.
GOVERNED
Agentic Systems
EVALUATED
Secure. Scalable. Reliable.
OPERABLE
Measure. Learn. Improve.
TRANSPARENT
Statuses, evidence and roadmaps disclosed.
