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Data architecture, machine learning & AI consulting

Data and AI systems,
built to work better.

ArchOpt helps teams improve existing systems and build new data and AI solutions. From architecture and model development to production delivery, the work starts with your business needs.

Let’s talkExplore the experience

On-site or hybrid in Stockholm. Remote consulting wherever your team works.

From foundations to use

  1. 01
    DataSources & quality
  2. 02
    PlatformsArchitecture & flows
  3. 03
    Models & applicationsIntelligence in practice
  4. 04
    DecisionsPeople & operations

Consider the whole system.
Make each part work better.

Architecture. Implementation. Ownership.Meet your consultant

01Services

Start with
your challenge.

Improve what you have, build what you need or get a clearer view of the next step.

Explore the services
  1. 01

    Improve existing systems

    Maintain, troubleshoot and improve the systems your business already depends on. Address performance, cost and reliability in your current environment.

  2. 02

    Build AI and LLM applications

    Take an AI idea through feasibility, prototyping, evaluation and integration. Start with a clear use case and build for day-to-day operation.

  3. 03

    Develop better machine learning systems

    Build and improve models, training workflows and evaluation. Connect the modeling work to the decisions the system needs to support.

  4. 04

    Strengthen your data foundations

    Design and improve data architecture, pipelines and integrations. Make data easier to use, maintain and build on as your needs change.

  5. 05

    Assess what is worth building

    Review an idea or an existing system before committing further. Understand the options, constraints and trade-offs, then agree on a practical next step.

02Selected experience

Work with context.

All experience

Examples from Eslam’s previous roles and consulting assignments.

Data architecture

A simpler data platform.

End-to-end platform ownership and improvements to legacy architecture, reducing infrastructure costs.

Python · AWS · Redshift

Explore the work

Machine learning

Better workflows for retail pricing.

Maintaining a seasonal pricing system and improving training, evaluation and model selection.

Python · Google Cloud · Vertex AI

Explore the work

Applied AI

Exploring LLMs for business analytics.

A call analytics prototype and an LLM-based solution for data analysis, dashboards and reporting.

Python · LLM integration

Explore the work

The platform and LLM examples describe different workstreams from the same assignment.

03Approach

A clear way
of working.

Agree on the goal, keep progress visible and make the handover part of the work from the start.

How the work takes shape
  1. 01

    Understand the challenge

    We discuss your goals, current situation and where ArchOpt can help.

  2. 02

    Meet the people involved

    Where useful, we meet your team to understand the systems, dependencies and ways of working.

  3. 03

    Agree on delivery

    We define scope, priorities, responsibilities and what a successful delivery looks like.

  4. 04

    Start delivering

    Work begins in agreed steps, with regular check-ins to share progress and resolve questions.

  5. 05

    Review the direction

    Quarterly reviews for longer assignments; milestone reviews for shorter engagements. Priorities evolve as we learn.

  6. 06

    Prepare the handover

    We review the delivery together and complete documentation, knowledge transfer and offboarding sessions.

  7. 07

    Close with confidence

    We confirm the outcomes, record remaining actions and leave clear ownership for what comes next.

04Your consultant

Meet Eslam.

Understanding the business.
Working across the system.

More about EslamView résumé

I’m Eslam Ali, the founder of ArchOpt. My background spans data engineering, data science and software development, with experience across retail, telecommunications, social media analytics and banking.

Ownership without constant direction

I take initiative, find the right people and work through uncertainty to keep delivery moving.

Clear communication across disciplines

I connect business goals with technical choices, making trade-offs understandable to the people involved.

A useful part of your team

I share knowledge and bring experience from different environments to help the team deliver effectively.

Previous colleagues & clients

Working with Eslam.

“He translated my layman's terms and concepts into robust, automated machine learning systems on our multi-tenant platform.”
Sten HallströmProduct colleagueDecember 2024
“He anticipates potential roadblocks and pro-actively proposes ways to turn a good solution into a great one.”
Alexandra PagelClient from a previous engagementApril 2021
Read recommendations on LinkedIn

05Selected technologies

Familiar tools.
Considered choices.

The right tool depends on the problem. What matters is choosing well, integrating carefully and building something your team can run.

Cloud platforms

  • AWS
  • Google Cloud
  • Microsoft Azure

Data foundations

  • BigQuery
  • Redshift
  • PostgreSQL
  • Apache Airflow

ML and applications

  • Python
  • scikit-learn
  • Vertex AI
  • FastAPI

Delivery and insight

  • Docker
  • Kubernetes
  • Power BI

Let’s talk

Let’s discuss your
next challenge.

Tell me what you are working on, where things are getting difficult and what you want to achieve. We can start by finding out whether ArchOpt is the right fit.

Email Eslam

On-site or hybrid in Stockholm. Remote consulting wherever your team works.