Solid Base Consult SIA · Riga, Latvia
Make your teams faster with AI. Build AI into what you sell. Or bring him into your own client conversations as the AI expert. All three from one engineering leader who has run the organisation, not only the demo.
“What would we hire him for?”
Your people already have AI licences. This turns them into speed: shared setups, working conventions, training that sticks, and the governance that keeps it from being one enthusiast’s side project.
Engineering first, then every function that reads, writes or decides.
Not tools for your staff. AI in the product itself: features that understand what a customer means, agents that do the work behind a click, and apps that make you findable where your customers already talk to AI.
Smarter behaviour in a fraction of the code, with a person signing off wherever it matters.
You’re pitching a client and AI comes up, as it now does in every deal. Bring Roland into that conversation as your AI capability expert.
He hears the client’s problem and answers on the spot: what AI can genuinely do about it, what it would take to build, and what it would move. Including the honest “that part isn’t worth automating.”
Your pitch closes with a scoped, credible AI solution attached. And if it gets built, you’ve seen who builds it.
“Who says he can?”
Everything below is something you can open: a page published by an employer, or a signed recommendation on a named person’s profile, republished with the originals at nurmind.com/recommendations. Work under NDA is described without naming systems or people.
Proof for 01 · Enable
Groupon published this on its own careers site, under Roland’s byline as Engineering Director. Most of that organisation now rarely writes code by hand; teams that estimated in weeks deliver in days.
When Roland joined Groupon in early 2025, the question in the engineering org was “can AI help?”
Twelve months later it had flipped to “why are you still doing this manually?”
For clients, the same work runs from a single workshop on Claude Code or Codex up to a standing programme: adoption strategy, procurement and governance, and hands-on coaching for engineers and for every other function.
And it isn’t the first time. At Toptal he built the internal AI tool the whole company ended up using.
“He developed an open-source project, Nur — a knowledge base that later became the foundation for TopAssist, a company-wide tool used at Toptal to interact with LLMs and enterprise documents… those who seek a great manager and hands-on AI expert need look no further.”Stefano Benatti · AI Innovation Leader, Toptal · LinkedIn recommendation, October 2024
Nur, the open-source project he mentions, is where Roland’s practice took its name.
Read the original recommendation, as it appears on LinkedIn → nurmind.com/recommendations
Proof for 02 · Build
A proprietary GenAI marketing capability that had to be invented, proven and shipped, with the question of whether it could be done at all still open at the start.
“What we embarked on was truly breakthrough and Roland eagerly tackled the unknown, as well as many obstacles thrown at us. This project wouldn’t have come to fruition without Roland… Roland’s mindset helped us accomplish the seemingly (at the time) impossible.”Holly Hirsch · Chief Operating Officer, Eagle Foods at the time of writing · LinkedIn recommendation, April 2025
10× more campaigns run on the same budget. Solid Base Consult’s own figure, not a claim made in Ms Hirsch’s recommendation above.
Read the original recommendation → nurmind.com/recommendations
A previous team left a half-built clinical AI platform. Nur AI, the practice Roland runs through Solid Base Consult, took it over: rebuilt the AI so results were accurate and reliable, added the reporting management needed to see what the system was doing, secured it, and tuned it far past the original workload plan.
“They inherited a hostage AI project, stabilized it, and rebuilt the core AI functionality to perform as we originally envisioned, all under tight deadlines while our business couldn’t afford delays… They safeguarded our investment when it was genuinely at risk, and then built on it.”Dirk Perritt, M.D. · CEO, MD Health Pathways · LinkedIn recommendation, February 2026
8× the service capacity they can handle since the enablement. Solid Base Consult’s own figure, not a claim made in Dr Perritt’s recommendation above.
Read the original recommendation → nurmind.com/recommendations
How 02 is kept honest
Before anything is built, you agree what it should move and write down where that number stands today. At the end you take the same measurement, the same way, and decide whether it earned its place.
Deployments are reversible, your data stays inside your own infrastructure, and a person signs off before anything touches a real decision. Your position under the EU AI Act is read as part of the work: which risk category your systems likely fall into, what documentation is missing, and what to review with your lawyers.
“Are we even a fit?”
Engagements run on time and materials against a scope agreed up front. You buy the work actually done, and you can stop at any stage boundary.
Write a few lines about where you are, or pick a slot in the calendar. You will be talking to the person who does the work, not a sales team. If it is not a fit, you will hear that too.