Public records

Public work you can check.

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 โ†—

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 โ†—

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

Experience examples

Relevant work, described without client names.

Organization names are omitted. These examples reflect founder/principal experience, including work through prior employers and consulting firms. No client endorsement is implied.

Experience example

Enterprise ML platform discipline

Standardizing ML delivery so teams can move from notebooks toward repeatable production-control workflows.

Context
Large Norwegian food-production enterprise
Type
Completed delivery
Technologies
  • Azure Databricks
  • MLflow
  • Unity Catalog
  • Azure DevOps
Outcomes
  • More repeatable ML delivery patterns.
  • Stronger lifecycle controls and handover discipline.

Experience example

Data platform modernization with production controls

A platform pattern for repeatable data and developer environments with controlled access to production data.

Context
Nordic automotive and distribution group
Type
Completed delivery
Technologies
  • Databricks
  • Azure
  • Terraform
  • Terragrunt
Outcomes
  • More consistent environment provisioning.
  • Improved data discoverability.

Experience example

Secure analytics platform for sensitive environments

Backend and platform work for plugin-oriented analytics where access control, orchestration, and information handling matter.

Context
Defense-related research and analysis environment
Type
Completed delivery
Technologies
  • Python services
  • Kubernetes
  • Airflow
  • Object storage
Outcomes
  • Reusable plugin-oriented analytics workflows.
  • Clearer service limits and integration flows.

Experience example

Privacy-preserving mobility analytics

Telecom-scale mobility analytics translated into planning, tourism, transport, and research insight while respecting privacy constraints.

Context
Telecom mobility analytics program
Type
Completed delivery
Technologies
  • Spark
  • Hadoop
  • Python
  • GIS
Outcomes
  • Mobility patterns translated into business and planning insight.
  • Privacy-aware analytical methods for sensitive location-derived data.

Experience example

Rail infrastructure predictive maintenance

Data engineering and analytics patterns for sensor-heavy railway maintenance environments.

Context
Rail infrastructure operator
Type
Completed delivery
Technologies
  • Databricks
  • Spark
  • Python
  • R
Outcomes
  • Data quality and processing improvements across specialized infrastructure data.
  • More coherent use of fixed sensors, mobile measurements, and domain data.

Experience example

AI sensing and computer vision

AI sensing and computer-vision work kept as focused prototype work unless a production scope is clearly defined.

Context
Medtech training and privacy-aware retail automation patterns
Type
Prototype context
Technologies
  • TensorFlow
  • TensorFlow Lite
  • Computer vision
  • Sensor fusion
Outcomes
  • Translated sensing problems into concrete prototype and training material.
  • Connected technical feasibility with customer-facing communication.

Recommendations for Arturo

What people who worked with Arturo emphasized.

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

Recommendation for Arturo Opsetmoen Amador

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

Recommendation for Arturo Opsetmoen Amador

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

Recommendation for Arturo Opsetmoen Amador

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

Recommendation for Arturo Opsetmoen Amador

He has very good analytical skills, is flexible with data from different domains, and communicates clearly enough to keep the team aligned.
Gaurav Garttan Worked with Arturo on a multi-disciplinary data project Excerpted recommendation

Recommendation for Arturo Opsetmoen Amador

The solutions built by Arturo were done with mastery and impressive speed in a challenging technical project.
Hugo Wruck Schneider, PhD Worked with Arturo on a technical delivery project Excerpted recommendation

Recommendation for Arturo Opsetmoen Amador

Arturo was quick to find solutions to difficult challenges, brought value at each step, and had a strong eye for detail.
Dr. Mathew Divine Worked with Arturo on a data-heavy development project Excerpted recommendation

Recommendation for Arturo Opsetmoen Amador

The breadth of Arturo's knowledge shows in everyday work, and his business acumen made him valuable in strategic decision-making.
Dmitriy Drichel Worked with Arturo on a specialized data science project Excerpted recommendation

Recommendation for Arturo Opsetmoen Amador

His ability to explain complicated matters so the team could grasp the essence was a key skill.
Sindre Hegglund-Dalseth Worked with Arturo on an AI sensing project Excerpted recommendation

Design support

Visual direction helps technical work read clearly.

Design communication

Yolo portfolio and design communication

Public portfolio and visual-design context for architectural visualization and clearer technical communication.

Portfolio reference (external)

Portfolio reference

Portfolio reference

Selected portfolio reference for architectural visualization and design communication.

Visual direction

Architectural visualization direction

Architectural visualization practice used to make complex technical material easier to read.

Material direction

Sustainability-informed materiality

Sustainability-informed design perspective used to keep OADC's visual language calm and grounded.

Qualified conversations

Sensitive details stay out of the public site.

More specific context can be discussed when the scope, confidentiality needs, and relevance are clear.

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