R&D Advisory

Make better technical decisions before complexity becomes expensive.

I work with organisations on complex software systems and emerging technologies, helping turn uncertain technical questions into clearer architectures, focused experiments and informed decisions.

30 minutes · online · no obligation

How I can help

Focused support for difficult technical decisions.

Advisory work can start from a technology question, a system that has become difficult to evolve, or an idea that needs evidence before larger engineering investment.

Emerging technology assessment

Understand what is real, what is premature, and what is worth testing.

Assess capabilities, limitations, maturity, integration constraints and strategic fit before committing engineering effort.

Typical questions

Is this technology actually useful for our problem?

What should we test before investing further?

Where are the main technical risks?

Architecture & workflow review

Find where complexity, bottlenecks and fragile assumptions are accumulating.

Review software architecture, computational pipelines, distributed workflows and engineering processes to identify trade-offs and practical improvement opportunities.

Typical questions

Is this architecture still appropriate as the system grows?

Where are we creating unnecessary operational complexity?

What would we change first?

Prototyping & technical validation

Turn assumptions into something that can be tested.

Design a focused proof of concept, experiment or prototype to explore feasibility before a larger implementation.

Typical questions

Can this approach actually work?

Which assumptions need experimental evidence?

What is the smallest useful prototype?

Capability building & technical learning

Help teams and learners understand complex technology well enough to make their own decisions.

Tailored workshops, technical briefings and purpose-built learning experiences around a specific technology, architecture or problem.

Typical questions

What does the team need to understand before adopting this?

How can an emerging technology become an effective learning experience?

Areas of expertise

Where I can go deep.

Software engineering is the common foundation across all four areas.

AI & intelligent software

Applied AI systems, LLM-enabled applications, automation, product-oriented architecture and technology evaluation.

Quantum & hybrid computing

Quantum software, quantum–classical architectures, distributed execution, software engineering and practical technology assessment.

Cloud & distributed systems

Cloud architectures, distributed infrastructures, orchestration, monitoring, benchmarking and computational workflows.

EdTech & technical learning experiences

Technology-enabled learning, interactive laboratories, technical training experiences and educational products around emerging technologies.

Selected advisory work

Applied work with real technical constraints.

A compact view of current advisory work, focused on context, contribution and technical scope.

ACSoftware

Scientific Consultant & Scientific Director · 2026 - Present

Quantum technologies / EdTech

EMPIRIA HALL - Advanced Quantum Virtual Lab

Context
A high-realism virtual laboratory that recreates advanced environments, instruments and procedures to prepare learners for laboratory work in physics and quantum technologies, particularly where access to specialist facilities and equipment is limited.
Contribution
Scientific consulting on quantum technologies and Scientific Director for EMPIRIA HALL. I lead the scientific and educational direction of the platform and contribute to its product concept and technical design.
Focus
Quantum technologies · EdTech · Virtual laboratories

Irelia.ai

Scientific Consultant · 2023 - Present

Applied AI

AI systems from early product conception

Context
Automated customer interaction, customer profiling, lead qualification and appointment scheduling.
Contribution
Scientific advisory and technical contribution from the early stages of product development.
Focus
Applied AI · Automation · Product architecture

Applied R&D evidence

TRL 7

From research to operational systems

National federated cloud infrastructure

Earlier research and engineering work with Consortium GARR included leading the development of a software system that reached TRL 7 and is used in production on a national federated cloud infrastructure for monitoring, performance assessment and operational management.

ResearchPrototypeValidationDeployment

How I work

A lightweight process built around evidence.

The engagement should be no heavier than the problem requires. Sometimes that means a focused review; sometimes it means building and testing something.

  1. 01 / Frame

    Clarify the real decision.

    Understand the technical question, constraints and assumptions before choosing a solution.

  2. 02 / Assess

    Evaluate the trade-offs.

    Compare architectures, technologies and evidence against the actual context.

  3. 03 / Test

    Reduce uncertainty.

    Prototype or experiment where the riskiest assumptions need evidence.

  4. 04 / Transfer

    Leave useful understanding behind.

    Document reasoning, communicate findings and strengthen internal capability.

Depending on the challenge

What a collaboration can produce.

Examples rather than fixed packages - the output should answer the decision at hand.

Technical assessment

A reasoned evaluation of technologies, options and constraints.

ASSESS

Architecture review

Findings, trade-offs and practical recommendations.

REVIEW

Prototype / proof of concept

A focused implementation designed to answer a technical question.

TEST

Experimental evidence

Benchmarks or experiments that make assumptions measurable.

EVIDENCE

Technical roadmap

A clearer sequence for exploration, adoption or engineering work.

PLAN

Workshop / briefing

Focused capability building around the problem or technology.

TRANSFER

Research Education Communication Advisory

Let’s make your next step possible

Have a technical challenge, an architecture decision, or an emerging technology you are evaluating? A free 30-minute introductory call is enough to understand the context, discuss where the uncertainty lies, and see whether I can help.

Book a free 30-minute introductory call

30 minutes · online · no obligation