Software architecture · Applied AI

Build reliable
software.
Put AI to work.

Software architecture, platform modernization, and applied AI. Work directly with Șerban Paul Boghiu to turn complex technical decisions into software your team can build and maintain.

  • .NET
  • TypeScript
  • Distributed systems
From challenge to delivery
  1. ReviewGoals & constraints
  2. DesignOptions & decisions
  3. BuildPhased implementation
  4. EvolveFeedback & refinement
Clear boundaries. Documented decisions. Practical delivery.

How we can help

From technical decisions
to working systems.

Bring a specific challenge. We’ll define the work, the decisions, and the deliverables together.

01 / Systems Architecture &
modernization
Resolve scaling bottlenecks and plan changes your team can deliver. Explore the engagement

For teams evolving an existing platform or making an important architecture decision.

Typical deliverables

  • Architecture and dependency review
  • Documented options and trade-offs
  • Phased modernization roadmap
Discuss your architecture
02 / Applied AI AI systems &
evaluation
Choose useful AI applications and test quality, cost, and reliability. Explore the engagement

For teams exploring an AI use case or moving a promising prototype toward production.

Typical deliverables

  • Use-case and feasibility assessment
  • Evaluation criteria and model comparison
  • Prototype and integration plan
Discuss your AI use case
03 / Engineering Technical
leadership
Give your team clear decisions and practical support through delivery. Explore the engagement

For teams that need senior engineering guidance alongside their existing delivery team.

Typical deliverables

  • Architecture decision records
  • Design reviews and implementation guidance
  • Operational handover documentation
Discuss your team’s needs
10+
Years in commercial engineering
.NET
Enterprise platforms & APIs
MSc
Distributed Systems
AI
Doctoral studies & research

Professional profile

Experience behind
the architecture.

More than a decade of commercial engineering across fintech, healthcare, payments, loyalty, and travel technology.

Architecture & leadership10+ years

From solution design
to delivery.

Experience in architecture decisions, technical estimation, cloud migration, database modernization, and mentoring engineers.

  • Solutions ArchitectDATA SPACE SRL · Aug 2022–present
  • Senior Software EngineerNTT DATA · Sep 2021–Sep 2022
  • Software Technical LeadAROBS Group · Aug 2019–Sep 2021
View my LinkedIn profile (opens in a new tab)
Education & researchAI / Distributed systems

An academic foundation
for practical engineering.

Computer science, distributed systems, and artificial intelligence studies at Alexandru Ioan Cuza University, Iași.

  • Doctoral studies in Artificial IntelligenceCommenced in 2018
  • MSc in Distributed Systems2016–2018
  • BSc in Computer Science2013–2016
Download my CV PDF

The person behind DATA SPACE

Technical depth.
Direct collaboration.

Șerban Paul Boghiu

Solutions Architect · Iași, Romania

My work connects solution design with hands-on delivery: distributed .NET services, APIs, integrations, platform modernization, and the technical guidance teams need along the way.

You work directly with me to define the problem, weigh the trade-offs, and move the work forward.

A clear way of working

  1. Understand the problem

    Review your goals, current systems, constraints, and the decisions you need to make.

  2. Choose a direction

    Compare practical options and document the architecture, risks, and evaluation criteria.

  3. Make delivery concrete

    Agree on a phased plan with clear deliverables, responsibilities, and checkpoints.

  4. Support implementation

    Review designs, help resolve difficult decisions, and prepare your team for handover.

Before we talk

A few useful answers.

Have a more specific question?
Let’s discuss it

When is DATA SPACE a good fit?

When your team needs senior architecture or engineering support for a concrete problem: modernizing a platform, resolving a scaling issue, evaluating AI, or planning a complex change.

Can you work with our existing team?

Yes. The engagement can focus on architecture reviews, specific technical decisions, or implementation support alongside your engineers. Responsibilities and deliverables are agreed at the start.

Does the work have to involve AI?

No. Software architecture, .NET modernization, distributed systems, and technical leadership can each be the focus of an engagement.

How do you evaluate an AI use case?

Start with the task and representative examples. Define acceptable quality, compare options, and assess failure cases, cost, and integration requirements before expanding the implementation.

What should I include in an inquiry?

A short description of your current system, the outcome you want, your main constraint, and your expected timeline is enough to begin. Leave out confidential information in the first message.

Start a conversation

What are
you building?

Tell me about your current system, your goal, and the challenge in the way.

contact@dataspaces.shop

Based in Iași, Romania.
Available for remote collaboration.