Email OADC

Founder-led consulting for AI, agent systems, and data platforms

Move AI and data work from decision to delivery.

OADC helps organizations choose the right use cases, strengthen the platforms behind them, and build AI, agent, and data systems that can be owned internally.

Where OADC helps
  • Unclear data access or ownership
  • Platforms moving beyond notebooks
  • AI ideas that need scope before build
Email OADC See selected work

Where OADC helps

  • Systems where ownership, access, and accountability matter
  • Sensitive data or unclear access rules
  • Platforms that need to move beyond notebooks
  • AI or agent ideas that need scope before build

What OADC does

The plan, the build, and the handover stay connected.

AI, Data & Agent Strategy

Help choosing what to build, what to avoid, and what must be true before AI or data work moves into delivery.

Use when
Leaders and teams facing AI, data, or platform choices where the next move is not yet obvious.

Agent systems and data-platform delivery

Hands-on architecture and implementation for AI, agent, ML, and data-platform systems that need tests, access rules, and clear ownership.

Use when
Teams modernizing data platforms, MLOps foundations, agent-facing services, or analytics systems.

Workshops and team enablement

Focused sessions that help technical and business teams share language, make decisions, and leave with practical next steps.

Use when
Leaders, platform teams, and practitioners who need shared language and practical next steps.

Public work

Public work you can check before we talk.

Courses, community work, and research records that show the kind of work behind OADC.

DataCamp MLOps course authorship

Public course on production-oriented MLOps, testing, deployment, monitoring, and automation.

Course author and instructor

Community and events

Open public reference ↗

MLOps community and events

Public community presence around MLOps, platform practice, and technical learning in Norway.

Organizer and host or speaker for selected public MLOps events

Research and public records

Open public reference ↗

Privacy-aware mobility research records

Public research and communication records from mobility analytics, anonymized population estimation, and privacy-aware data use.

Contributor to public research and communication records

Working method

Start with the decision. Finish with something the team can own.

01

Frame the decision

Find the owner, constraint, data reality, and risk that matter.

02

Choose the path

Compare architecture and delivery options before deciding what should be built.

03

Build with controls

Build in the team's own codebase with tests, access rules, and handover discipline.

04

Hand over what was built

Leave working examples, decision records, documentation, and next steps the team can use.

Recommendations for Arturo

What people who have worked with Arturo point to: clarity, platform discipline, and careful work with sensitive data.

He helped create a production-grade workflow with automated CI/CD, feature management, clearer auditability, and reliable model monitoring.
Ivar Kristoffer Huitfeldt · Worked with Arturo on production-grade data science and MLOps practice · Excerpted recommendation
Arturo is one of those rare professionals who bridges both technology and business seamlessly.
Even Nesvik · Worked with Arturo on data integrations, architecture, and platform enhancement
He outlined privacy-by-design work and how to use massive data without compromising regulatory requirements and GDPR.
Milan Purohit · Worked with Arturo in mobility analytics and data-network analytics contexts · Excerpted recommendation

Recommendations are for Arturo Opsetmoen Amador unless explicitly identified as OADC client work. Affiliations are context and do not imply organizational endorsement.

Start with email

Send a short note about the problem, sponsor, timing, and constraints.

Email is the primary path. Do not send confidential or sensitive information in the first note.

Email kontakt@amador.no