Sam N.

AI Development & Digital Transformation | Agentic Systems, LLMs, RAG | Microsoft Solutions Partner | Assessment-First AI Delivery Across All Industries

I genuinely love taking "we want to do AI" and turning it into something that actually works in production — and I mean actually works, not a demo that looks great in a meeting and falls apart the moment real data touches it.

I'm Sam, a Microsoft Solutions Partner who started my career as a data engineer, and that background changes everything about how I approach AI. Most AI projects don't fail because the model is bad — they fail because nobody checked whether the data underneath it could support it in the first place. I don't skip that step, and I won't let you either.

My approach is deliberately unglamorous at the start, because it's what actually gets results:
1️⃣ Assessment First — Before touching a single model or agent, I assess your business goals, your systems, and what "success" actually needs to look like.
2️⃣ Data Readiness Check — I dig into your data: is it clean, connected, governed, and structured enough to power real AI? If not, I fix that first — this is where my data engineering background does the heavy lifting most AI consultants can't.
3️⃣ Proof of Concept — A focused, fast build that proves the value before you commit real budget to scale.
4️⃣ Expand — Once the POC proves out, we scale it into a production system built to last, not a fragile prototype.

I work across every domain — I've built and delivered across a genuinely wide range of industries, and I'd rather show you what I can do for your specific business than assume one vertical defines me.

What I build:
✔ AI: Agentic systems, LLM applications, RAG pipelines, AI workflow automation
✔ Data Engineering & Readiness: Data pipeline architecture, cleanup, governance — the foundation AI actually needs
✔ Microsoft AI Stack: Azure AI, Microsoft Fabric, [add specifics — Copilot Studio, Azure OpenAI, etc.]
✔ Full-Cycle Delivery: From assessment through production, not just a proof of concept that never scales

Who I work with: Startups, SMBs, mid-market, and enterprise organizations across any domain who need AI that's built on a solid data foundation — not bolted onto a shaky one.

Why clients bring me in:
⭐️ Microsoft Solutions Partner — Data & AI, Infrastructure, App & Digital Innovation, Security
⭐️ Started as a data engineer — I catch the data problems that sink most AI projects before they cost you money ⭐️ Assessment-first methodology — no wasted spend on AI that was never going to work