Chief Roadblock Remover and Learning Enabler | Software Development Expert | Leadership & Career Coach | Speaker | Author | Building great products, building great teams!

🎯 I'm a result-driven 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗟𝗲𝗮𝗱𝗲𝗿, 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁, 𝗖𝗼𝗮𝗰𝗵, 𝗧𝗿𝗮𝗶𝗻𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 with more than 20 years of professional experience in different domains, including the 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, 𝗯𝗮𝗻𝗸𝗶𝗻𝗴, 𝗲𝗻𝗲𝗿𝗴𝘆 𝘀𝗲𝗰𝘁𝗼𝗿, 𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻, 𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗰𝗼. 

🚀 My mission is to provide 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 focused on architecture, the best agile practices, passionately 𝗯𝘂𝗶𝗹𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 to deliver innovative, 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀, working closely with customers and developing software products on different platforms.

🎓 As a 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿, I published 20+ papers and book chapters in international conferences and journals (having more than 440+ citations and h-index 11 on Google Scholar), obtaining 𝗣𝗵.𝗗. 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀. Also, I have been involved as a 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗿 𝗮𝗻𝗱 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 𝗰𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 𝗺𝗲𝗺𝗯𝗲𝗿, member of ACM, the IEEE Computer Society, and GOAI Research group. 

🧑‍💼 I work as a professional 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗖𝗮𝗿𝗲𝗲𝗿 𝗰𝗼𝗮𝗰𝗵 for people in engineering leadership positions.

✍🏻 Additionally, I am a 𝗽𝗮𝘀𝘀𝗶𝗼𝗻𝗮𝘁𝗲 𝗮𝘂𝘁𝗵𝗼𝗿, who helps more than 400,000 engineers, managers, and architects to build great careers, products, and teams through various platforms and channels.

𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:

📌 Leadership
📌 Team building
📌 Making things efficient
📌 Creating self-contained systems
📌 Be highly organized and make others too
📌 Focus on strategy/goals
📌 Make things happen
📌 Career Coaching
📌 Mentoring
📌 Line management
📌 Effective client communication
📌 Software Architecture
📌 DevOps mindset
📌 Cloud (Azure)
📌 .NET/C# (ASP.NET/WPF)
📌 SQL Server/NoSQL
📌 Agile methods (Scrum, Kanban, SAFe)
📌 Product/project management

📲 Feel free to contact me here via LinkedIn (DM)!

Dr Milan Milanović

AI writes code faster than you ever will

But it can't decide what problem to solve, which trade-offs to accept, or when the architecture won't hold

The keyboard was never the bottleneck

Your thinking was

And still is

Chief Roadblock Remover and Learning Enabler | Helping 400K+ engineers and leaders grow through better software, teams & careers | Author | Speaker | Leadership & Career Coach

Three algorithm books from MIT Press. All are free to read online.

Mykel Kochenderfer and team published a trilogy that covers ground most engineers actually need:

1. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (2019)
Linear programming, convex optimization, surrogate models, population methods. The math behind every search and tuning problem you've touched.

2. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴 (2022)
Probabilistic reasoning, sequential problems, reinforcement learning, and multi-agent systems. If you're building anything with AI agents, start here.

3. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 (Preview)
Safety analysis, verification, and robustness testing for autonomous systems. The part most teams skip until something breaks.

I've been going through the Decision Making one recently. The treatment of POMDPs and game-theoretic methods is well worth your time.

Link: https://lnkd.in/dTUjF_xe

Microsoft MVP | AI & Fabric Specialist for Business Transformation | Helping Enterprises Unlock ROI with Azure, Copilot & Power BI | Forbes Tech | Keynote Speaker | CEO, Onyx Data

Strategic Data & AI Leader | Microsoft MVP | Oxford AI Strategist 

I bridge the gap between technical complexity and Board-level strategy. With nearly 15 years of experience, I have delivered over £93M in revenue growth for global enterprises by transforming data estates into high-velocity strategic assets.

Global Authority & Scalable Insight: 

LinkedIn Learning Instructor: Author of "How to Build and Execute a Successful Data Strategy," an industry-standard framework used by 10,000+ global learners (4.5/5 rating). 
Industry Recognition: Microsoft Data Platform MVP, Forbes Technology Council member, and Gartner Community Ambassador. 
Academic Rigor: Currently calibrating enterprise AI risk and leadership at the University of Oxford (Saïd Business School).

The "Onyx Methodology" in Action:  I help organisations move past "AI Hype" to achieve Operational Utility. Whether leading a global practice of 60+ consultants or advising the C-suite on £200TB+ migrations, my focus is on de-risking technology investments to drive EBITDA.

Core Specialisms:  AI Strategy & Governance (Purview) | Microsoft Fabric & Databricks Architecture | Data Monetisation | High-Performance Team Scaling.

Let’s connect,  I’m focused on the intersection of AI Ethics, Enterprise Strategy, and high-stakes Data Leadership. Always open to discussing the future of our industry with fellow Partners and Architects.

Leon Gordon

Turning 40 today.

Things I've learned:
→ The data is never clean
→ The deadline is always Monday
→ Nobody reads the documentation
→ The meeting could have been an email
→ I still Google VLOOKUP syntax

Normal service resumes next week.

Power Query just became a programmable compute engine inside Microsoft Fabric.
Not a refresh. Not a dataflow. A fully callable API.

You can now invoke M transformation scripts on demand, from notebooks, pipelines, or any HTTP client — and receive results as Spark or Pandas DataFrames via Apache Arrow streams.

Here's why this is a bigger deal than the announcement suggests:

→ 100+ connectors. Programmatically accessible.
→ On-premises and private network sources via gateway. No cloud-only limitation.
→ Billed through your existing Dataflow Gen2 meter. No surprise costs.

For data  analysts through to architects, this collapses a layer of complexity that's existed for years. 
The transformation logic you've already built in Power Query? 
It's now reusable infrastructure, not a locked-in dataflow artefact.

Read the full breakdown in this week's Microsoft AI & Data newsletter.

Power Query just became a programmable compute engine. If you're still treating it as a point-and-click transformation tool, you're already behind. TH

Open article: Unleashing Power Query: Programmatic Execution in Fabric by Leon Gordon • 2 min read

Unleashing Power Query: Programmatic Execution in Fabric

Boards have stopped asking "How do we build an LLM?"

The question now is "How do we protect the enterprise from the commercial and legal risks of a black-box AI rollout?"

That shift has changed what organisations actually need from their most senior AI hires. The era of the AI project manager is ending. What's replacing it is something closer to stewardship, someone accountable for making AI governance, architecture, and commercial outcomes work together at board level.

I've spent the last 12 months doing exactly this. Architecting sovereign infrastructure across 200TB+ data estates, calibrating my methodology through Oxford Saïd Business School, and helping enterprises move from proof of concept to production-scale impact.

I'm now opening conversations for Q2/Q3.

Specifically, I'm looking for a Principal AI Architecture or Head of Practice role with a global enterprise or Tier 1 consultancy that's ready to move past the hype phase into governed, scalable AI delivery.

The kind of mandate where:

→ POCs actually reach production and hit EBITDA targets
→ Agentic systems are architected for complex, regulated data estates
→ The gap between technical AI delivery and board-level risk is someone's actual job

If that sounds like a conversation worth having, message me directly.

#AIStrategy #EnterpriseAI #DataArchitecture #MicrosoftFabric #OxfordAI

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96% of executives expect a rise in AI investment over the next five years.

Only 1% of organisations report mature deployment.

That gap isn't a technology problem. It's an architecture problem.

I wrote about this for Forbes Technology Council.

The pattern I keep seeing across enterprise implementations, teams racing to ship AI agents, copilots, and predictive features, then getting stuck in pilot purgatory. Dozens of proofs of concept. Few scaled solutions. No measurable productivity impact.

The root cause is almost always the same. AI gets deployed as a series of disconnected tools rather than being anchored in a coherent, governed architecture.

The organisations pulling ahead have flipped the sequence. Architecture first, then AI. Four layers:

→ Data & Integration (governed data products, event streams)
→ Control & Governance (security, lineage, policy enforcement)
→ AI Services (shared decisioning, agents, scoring models via APIs)
→ Experience (where AI actually meets customers and employees)

The result: deployment cycles compressed from 4-6 months to around 5 weeks. Each new use case reuses existing components. Incremental cost drops. Speed compounds.

Competitors can copy a use case. They can't copy the speed and confidence with which you ship the 10th or 20th.

That's the compounding advantage of intelligent architecture.

Is your AI strategy architecture-led, or are you still shipping first and governing later?

🔗 Full article in the comments.

#AI #DataArchitecture #EnterpriseAI #ForbesTechCouncil #MicrosoftFabric

Only 1% of organisations report mature AI deployment.

96% are increasing AI investment.

The gap between those two numbers isn't a technology problem. It's a governance problem.

The pattern I keep seeing across enterprise implementations: teams ship a model into production without mapping lineage from source to inference. The model misbehaves. The diagnostic process starts from zero. Weeks of rework that proper governance would have eliminated before the first deployment.

That's not moving fast. That's iterating blind.

The uncomfortable truth most AI strategies ignore: governance isn't the brake on innovation. It's the prerequisite for sustainable speed.

Without it, every new use case is built from scratch. With it, your 10th deployment is faster than your 2nd, because the foundation compounds.

The organisations winning at AI aren't shipping fastest. They're shipping what they can operationalise, monitor, and iterate on without rebuilding the foundation every quarter.

That's not compliance. That's architecture.

#AIStrategy #AIGovernance #EnterpriseAI #DataArchitecture #MicrosoftFabric

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Leon Gordon

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Leon Gordon

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