This week I became a ‘Prime Inventor’ at Morgan Stanley – and received the special commemorative coin created for those inventors having a… prime number of patents 🙂


Big milestone for me – Patent #2 🎉
This one is close to my heart as an engineer and builder:
Inventing a WYSIWYG editor approach with true two-way editing.
What you see is not just what you get, but what you can round-trip.
Visual edits ↔ structured representation.
No lossy translations. No “one-way doors.”
Why it matters:
🧠 lowers cognitive load
⚡ speeds up iteration
🔁 keeps humans and systems in sync
🪲 makes fixing mistakes 10.000x cheaper
It’s another reminder that good tools don’t make you choose between power and usability – they collapse the distance between the TWO. And it works with AI IDEs too!
Grateful for the people and environments that make inventing possible.
On to the next one. 🚀 (three more pending!)

We tend to treat good results like miracles.
A great quarter.
A successful launch.
A promotion.
A team that somehow just clicked.
We celebrate them, tell the story a few times, maybe even mythologize them—and then quietly hope lightning strikes again.
That’s the mistake.
Because truly good results are not only repeatable.
They are also beatable.
And if they aren’t? They were never as good as we thought.

One-off wins feel amazing. They also feel dangerous.
When results depend on:
…what you’re seeing isn’t excellence. It’s luck with a good PR team.
Organizations, teams, and leaders often confuse outcomes with systems. They point at the number, the award, the metric—and forget to ask the uncomfortable question:
Could we do this again on purpose?
If the answer is “not sure,” then the result is fragile.
Repeatability is boring. That’s why it’s powerful.
It means:
Repeatable success doesn’t rely on mood, adrenaline, or exceptional individuals saving the day. It relies on clarity.
This is why mature teams document how they won, not just that they won.
This is why strong leaders invest in playbooks, not war stories.
This is why sustainable performance looks unexciting from the outside.
Boring beats heroic. Every time.
Here’s the uncomfortable part.
If your “best” result cannot be beaten, it becomes a ceiling.
If your past success becomes sacred, it quietly turns into stagnation.
Beatable results imply:
The moment a team starts defending how great things were, instead of asking how they could be better, learning stops.
Progress doesn’t come from protecting yesterday’s wins.
It comes from interrogating them.
Talent matters. Experience matters. Insight matters.
But systems outlast people.
A repeatable, beatable system:
This is true in engineering.
It’s true in leadership.
It’s true in culture.
If success only happens when “the right people” are in the room, the system is weak. Strong systems make average days productive—and great days inevitable.
When leaders say, “We had a great result,” the next sentence should never be a victory lap.
It should be one of these:
And most importantly:
How do we beat this result—without burning out the people who created it?
Because the goal isn’t to win once.
The goal is to build something that keeps winning.
Celebrate good results—but don’t worship them.
If a result is truly good:
Anything else isn’t excellence.
It’s just a lucky moment pretending to be a strategy.
And luck, unlike good systems, doesn’t scale.
Most conversations fail long before the first sentence is finished.
Not because people lack intelligence.
Not because they lack experience.
But because they walk in already holding a verdict.
They enter the room armed with conclusions, rehearsed arguments, and a subtle mission: to prove they are right. And once that mindset is locked in, learning quietly leaves the building.
Wanting to prove something feels productive. It feels like confidence. It feels like leadership.
But in practice, it does something dangerous:
When your goal is to prove, every pause becomes a chance to respond—not to understand. You listen just long enough to find the flaw. You wait for your turn instead of staying with their thought. And the conversation becomes a performance, not an exchange.
You might “win” the moment—but you lose the learning.
Now imagine walking into the same conversation with a different intent:
“What might this person know that I don’t?”
Suddenly:
This mindset doesn’t make you passive. It makes you precise. You’re still thoughtful, still opinionated, still principled—but you’re open to being updated.
And that’s the difference between intelligence and wisdom.
In high-performing teams, the strongest voices are often the quietest learners.
Great leaders understand something subtle:
Being right once is less valuable than being less wrong over time.
That requires feedback.
And feedback requires psychological safety.
And psychological safety starts with genuine curiosity.
When people sense that you’re trying to learn—not trap them—they open up. They share unfinished thoughts. They expose edge cases. They tell you what’s actually happening instead of what sounds defensible.
That’s where real progress lives.
There’s a myth—especially in technical and leadership circles—that curiosity signals uncertainty, and uncertainty signals weakness.
Reality says the opposite.
The most dangerous people in a room are those who believe they’ve already figured it out. They stop scanning. They stop updating. They stop adapting.
In fast-moving systems—technology, organizations, society—this isn’t just inefficient. It’s risky.
Curiosity is not the absence of confidence.
It’s confidence strong enough to survive being challenged.
Before your next meeting, panel, debate, or difficult conversation, ask yourself one question:
“What would I regret not learning from this interaction?”
Then anchor your listening to that.
You’ll notice:
And paradoxically, people will respect your opinions more—because they’ll feel seen before being evaluated.
Careers aren’t built on how often you prove others wrong.
Relationships aren’t strengthened by intellectual dominance.
And innovation doesn’t come from defending yesterday’s certainty.
The people who go far—really far—are those who treat every conversation as an opportunity to refine their mental model of the world.
Not to win.
Not to prove.
But to learn.
So the next time you walk into a conversation, leave your verdict at the door.
Bring curiosity instead.
There’s a quiet moment at the end of the day that most people rush past.
The inbox is finally closed. The meetings are done. The noise fades. And yet, instead of using that moment, we carry the uncertainty of tomorrow straight into the evening—and then into the morning.
That’s the mistake.
The most productive days don’t start in the morning. They start the night before.

When you begin a day without a written plan, you’re not starting from zero—you’re starting from chaos.
Your brain immediately goes into reactive mode:
Instead of moving forward, you spend the first hour re-orienting. By the time you’re ready to do meaningful work, your energy is already partially spent.
This is why so many people feel “busy” by 10 a.m. and exhausted by noon—without being able to point to real progress.
A plan that lives only in your head is not a plan. It’s a suggestion.
Writing changes the nature of intent:
When you write tomorrow’s plan before today ends, you are making a small but powerful decision: future-you deserves structure, not stress.
And that structure doesn’t need to be complex.
This is not a productivity system. It’s a handoff.
At the end of the day, answer just three things—on paper or in a note:
That’s it.
No color coding. No apps required. Just intention made visible.
There’s an underrated benefit to planning tomorrow before today ends: it gives you permission to stop.
Once the plan is written:
You’re not dropping unfinished thoughts—you’re parking them somewhere safe.
This is especially important for people who care deeply about their work. Without a written plan, responsibility follows you everywhere. With one, you can let go—because you’ve already taken responsibility.
People often think productivity is about squeezing more into the day.
It isn’t.
It’s about starting the day with direction instead of hesitation.
A written plan:
You don’t wake up asking what should I do? You wake up knowing what matters.
Athletes review the game before leaving the field. Pilots prepare before the next flight. Engineers write handover notes.
Yet knowledge workers often just… stop.
Planning tomorrow before today ends is a mark of craft. It’s how you respect your own attention—and your future self.
You don’t need a perfect plan.
You just need to end the day by saying:
“I’ve thought about tomorrow. You’re not walking into it alone.”
That single habit compounds faster than almost anything else you can do.
On January 21st, I’ll be proctoring a hands-on workshop at Microsoft AI Tour New York, focused on building prototype agents with the AI Toolkit and the Model Context Protocol (MCP).
This session is all about getting practical:
* 🧠 Designing agent-based systems
* 🔗 Using Model Context Protocol (MCP) to safely and cleanly connect models to tools
* 🛠️ Prototyping real agents with the AI Toolkit
* 📦 Moving from demos to architectures you can actually reuse
If you’re curious about agentic AI beyond buzzwords – how tools, context, and orchestration really come together – this one’s for you (and the full conference).
Looking forward to great questions, live experimentation, and some thoughtful “aha” moments in NYC.
See you on January 21st! 🙌
Big dreams are seductive. They show up fully formed in our heads: polished, ambitious, and often intimidating. They whisper about the person we could become, the impact we could have, the work we might one day do.
And then, just as quickly, they paralyze us.
Because the dream is huge. Because the path isn’t clear. Because the first step feels embarrassingly small compared to the vision.
So we wait.

Many people don’t fail because they lack ambition. They fail because they are waiting for the perfect moment to begin.
But perfection is a moving target. The more you wait, the more the starting line drifts away. What feels like preparation slowly turns into procrastination: just dressed up in better language.
“Dream big” isn’t the problem. In fact, it’s essential.
Big dreams:
Without a big dream, small steps feel pointless. You need the why before the how. The mistake is thinking the size of the dream should dictate the size of the first action.
It shouldn’t.
Starting small is not a compromise. It’s a strategy.
Every meaningful outcome (products, careers, movements, communities) began as something almost laughably modest:
Small starts do three powerful things:
We often overestimate how much thinking we need before acting, and underestimate how much acting will teach us.
Clarity does not precede action. Clarity follows action.
The first step doesn’t need to be right. It just needs to be real. Once you move, the fog lifts:
Progress has a way of rewarding motion.
Here’s the uncomfortable truth: the biggest risk is rarely starting too small.
It’s not starting at all.
Unstarted dreams don’t disappear. They linger. They quietly tax your confidence. They make your sleep patterns bad. They show up as regret, as “what if,” as the nagging sense that you’re capable of more but somehow stuck.
Time passes either way. The only difference is whether you’ve taken even one step forward while it did. It might be submitting an idea, starting a patent, starting a blog post, an open source contribution, something.
You don’t need:
You need a first move.
Write the first paragraph. Build the simplest version. Make the introduction. Publish the imperfect post. Schedule the meeting.
Small steps compound. Momentum is patient but loyal—it only shows up after you do.
Hold on to the big dream. You’ll need it when things get hard.
But don’t wait for it to feel safe or elegant or certain.
Start where you are. Use what you have. Take the smallest step that moves you forward.
Because in the end, the most important part of any journey isn’t how bold the dream was.
On Jan 28, 2026 at 11:00 AM ET, FINOS is hosting an exclusive webinar on Fluxnova – a new open source BPM platform focused on automation, orchestration, and accelerating true end-to-end process digitization across the enterprise.
https://zoom.us/webinar/register/1817684035398/WN_HijULCNCRGm_nvX30XzkAQ#/registration
Why this matters:
For years, organizations have been stitching together workflows, engines, and tools. Fluxnova is taking a more opinionated, modern approach – one that aligns with cloud-native thinking, open standards, and now agentic AI.
Agenda highlights
🧩 Fluxnova components overview + live demo
🔄 Practical migration path from Camunda 7 → Fluxnova
🛣️ Fluxnova roadmap and direction
🤖 Agentic AI live demo (this alone is worth attending)
If you care about:
🌐 Open source BPM done right
🏗️ Modernizing legacy workflow platforms
🧠 The intersection of orchestration, automation, and AI
🤝 FINOS-led, community-driven innovation
This session is for you.
Learn more about Fluxnova here:
https://fluxnova.finos.org
See you there!
Excited to share that registration is still open for the next Innovate.DTCC: Industry-Powered AI Hackathon, running Feb 23–27, 2026!
This isn’t just another hackathon. It’s a high-impact, cross-industry collaboration platform where technologists, domain experts, and innovators come together to tackle some of the most pressing challenges in financial services – from fraud detection and risk management to generative AI and customer-centric solutions.
What stands out to me:
🔹 Industry-wide participation – teams from across firms and functions
🔹 Open source outcomes – contributions go back to the broader community via FINOS
🔹 Multi-track focus – from internal audit and cybersecurity to HR and compliance
🔹 Virtual & accessible – flexible environment with AWS tooling + low-code options
In a landscape defined by complexity, this hackathon is a real opportunity to move beyond theory, build practical AI solutions, and elevate how our industry operates.
💡 If you’re passionate about AI, financial services, or solving real business problems: this is one to be part of.
👉 Registration closes Jan 23, 2026 – don’t miss it!
https://communications.dtcc.com/dtcc-hackathon-registration-18146.html
Happy New Year, everyone! 🎉
2025 was about building bridges – between open source and regulated finance, between AI research and usable products, between enterprise engineering and community. And honestly? I’m still catching my breath.
A few highlights I’m humbled and honored by:
🏆 Was invited and joined the Forbes Technology Council – a new platform to share ideas on AI, quantum, and spatial computing
🔄 Re-elected to the FINOS Technical Oversight Committee as the governing board-elected representative
🏅 Renewed as Microsoft MVP for Developer Technologies: .NET (second year!)
📜 2 patents granted (even not yet posted about the second one) – grateful to my co-inventors!
🎂 15 years at Morgan Stanley – from walking through data centers to cloud-first AI-embedded workflows

Some moments that energized me:
✨ Organizing Microsoft Ignite: New York Edition and delivering opening remarks and the Microsoft Most Valuable Professional roundtable
✨ Recording a studio video showcasing Morgan Stanley AI features for Microsoft Ignite (Foundry Local, Voxura, local model onboarding)
✨ Starting an Expert role at Primary Venture Partners – advising early-stage founders
✨ Staffing the Emerging Technologies and Open Source Readiness booths at FINOS OSFF2025
✨ Kicking off various spatial computing and quantum computing POCs with partners
✨ The MVP Summit – what happens there, truly stays there 🙊
What I keep coming back to:
People remain the most important part of technology. Every governance vote, every demo, every hackathon – it’s the humans making it meaningful.
Likes ≠ Legacy.
Purpose > Popularity. 💙
Thank you to the teams at Morgan Stanley, FINOS, The Linux Foundation, apidays and Microsoft who made this year possible. And to this community – you make the chaos fun and the work worthwhile. 🙏
Looking ahead to 2026: more Forbes articles (already submitted my first!), continued FINOS governance, deeper spatial computing and quantum computing POCs, and of course – the FSI Autism Hackathon.
What emerging tech do you think will have the biggest practical impact on finance this year? 👇
Here’s to another year of building bridges, not silos. ✨