I began investing in 2005 while still in medical school. In 2007, I started trading on the Brazilian stock exchange. 

By 2008, I was investing in the forex market using automated robots. For many years, I saw good returns with my stock portfolio in Brazil. 

Through day and swing trading with robots in forex, I had excellent years and others not so much; my results were unstable, though I tended to win more than lose. 

In 2020, I started investing in cryptocurrencies with robots, and in 6 months, I turned $32,000 into over $1 million. I stopped trading and exited this market upon identifying the end of that bull market cycle. 

Also in 2020, I began to study macroeconomics in depth, which became part of my analysis process, using fundamentals in my analysis as well and keeping up with new technologies. This is how I identified opportunities in cryptocurrencies, recognizing a time when the macroeconomic scenario was favorable, blockchain was an emerging technology, and then I developed a portfolio strategy that had an edge in selecting cryptocurrencies. 

Nowadays, my strategy is focused on long/short in the US stock market, aiming to buy (long) the best stocks (usually large tech stocks with high growth potential, solid business moat, but also some excellent defensive stocks) or ETFs of the best sectors and sell (short) ETFs that have poor strategies and/or prospects.

Investor

Marcello Vieira - Investidor de Sucesso

I founded 'Successful Investor' while working full time as a doctor back in 2012, teaching people how to invest more effectively.

The strategies have evolved over time, but I only teach what I do with my own money.

We now have over 15,000 students learning about investments in crypto and stocks with the goal of achieving financial freedom.

Founder

Medical Doctor

The All-Weather Investor | Building a $5M portfolio—$1M already achieved | Sharing everything I learn along the way

Strategic stock investing for Wealth Managers and Family Offices.

Wealth preservation is essential. 

But true financial stewardship requires strategic growth—built on conviction, discipline, and risk management.

Many wealth managers and family offices struggle to find stock investment strategies that deliver superior returns without unnecessary complexity. Our approach bridges that gap.

I’m Marcello, a former doctor turned full-time investor with two decades of experience in stock and crypto markets. 

Since 2016, I have worked with wealth managers, family offices, and high-net-worth individuals to implement investment strategies that maximize performance while protecting capital.

In 2020 and 2021, my momentum-based approach transformed $32,000 into over $1 million. 

Today, we refine and apply that strategy for professionals seeking an edge in the markets.

What we offer: 

↳ Institutional-grade stock strategies designed for long-term performance
↳ Risk-managed investment frameworks to navigate uncertainty with confidence
↳ Tailored solutions for wealth managers and family offices seeking scalable, high-conviction strategies

If you're looking to strengthen your portfolio strategy with a proven, data-driven approach, email me at marcello@mdvinternational.com

Marcello Duarte Vieira

Global Data Office - Head of EY.ai Simulation Labs

Spearhead strategic development and market positioning of Tax AI - driving its adoption and success through innovation, education, and community.

Global Tax AI Labs - Strategy Lead, Simulations & Synthetic Data

CDP provides a platform where professionals can develop technical skills, ideate on ways to improve internal and client work processes, and build re-usable tools for anyone in the firm.

From cultivating an innovative mindset within the community to leading product development and market reach, the vision is to share the tools to automate repetitive work and have professionals focus on more purposeful, needle moving work.

Americas Innovation - Crowdsourcing Development Platform (CDP) Product Manager

Research and build innovative, robust, and flexible financial analysis and modeling solutions to provide insight into client decisions for strategic planning, investment valuation, financial forecasting, and M&A transactions.

Decision, Modeling & Analytics Senior Manager

The Real Estate Tax technical liaison with the Tax Technology and Transformation team on the development of the "next-generation" technology for the partnership/fund tax compliance process.

Led the way for the automation and redesign of numerous tax workpapers and processes for partnerships and corporations for multiple engagement teams.

Selected as the Senior Manager Sponsor for EY's counseling family -- providing emotional and work support, facilitating coaching and career development discussions, and organizing events for team bonding.

Real Estate Tax Senior Manager

Oversaw tax compliance and advisory engagements for both domestic and international real estate firms. 

Experience with federal, state and international tax issues, including year-end K-1 reporting, quarterly estimates/withholding, REIT compliance, REIT due diligence, and transactional planning in complex partnership structures.

Real Estate Tax Manager

Deloitte

Advised Fortune 500 companies worldwide regarding tax opportunities on inbound and outbound operations. 

Designed, collaborated, and reviewed various tailored tax models using large data sets to quantify and measure the impact of tax planning strategies on clients' tax profile. Modeling support ranged from complex tax attribute projects to M&A and global restructuring transactions.

International Tax - Quantitative Consulting Services Manager

Managed the development of the Integrated International Tax Reform Model to help companies quantify the potential impact of various tax reform provisions and its interplay, including transition tax, global intangible low-taxed income, foreign derived intangible income, base erosion and anti-abuse tax, and interest expense limitation. 

Developed a Global Funds Model focused on global real estate and infrastructure funds to help assess fund structuring alternatives, tax reform planning considerations (e.g., impact of 163(j), 100% expensing), and other tax structuring considerations (e.g., internal leverage, withholding leakage, exit considerations, etc.)

International Tax - Quantitative Consulting Services Senior

Manage and led staff on year end compliance process, which involves review of tax basis balance sheets and capital accounts, partner allocations in accordance with 704(b) regulations, review of partnership agreements for allocations, and Schedule K-1 reporting.

Selected by Directors and Partners to participate in various committees: (1) Quality and Risk Management Committee, (2) Campus Recruiting, (3) Google Guide and (4) Market Tax Technology Team.

Real Estate Senior Associate

Prepared and reviewed federal, international, state and local, partnership and corporate tax returns for clients in the Real Estate industry. She took the initiative to streamline repetitive, manual processes via automation using technologies such as Visual Basic and JavaScript.

Real Estate Tax Associate

Ernst & Young

National Tax Technology Group

Real Estate Tax Intern

Goldman Sachs

Federal Tax Intern

Empire State Development

Accounts Payable Intern

Macy's

Human Resource Staffing Intern

I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

Everyone’s racing to adopt AI.
No one’s stopping to ask what it’s supposed to mean.

The irony?
AI won’t save broken systems. It’ll just expose them faster.

The question isn’t “How fast can we adopt AI?”
It’s “What problem is worth automating in the first place?”

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

Every company has them - the quiet ones.
They don’t ask for credit.
They just make things work.

You don’t notice them until something breaks.
Until their 3 a.m. commits stop showing up.
Until the system they held together starts to fall apart.

We built performance reviews to seem fair.
But they reward visibility over value.
The loud over the loyal.

And when the quiet ones finally leave, it’s not anger - it’s realization.
They see the system for what it is:
One that measures what’s seen, not what matters.

If you’re a leader, your job isn’t to spot the performers who shout.
It’s to notice the ones who never need to.

The next advantage won’t come from the smartest AI.

It’ll come from the people who can translate intelligence into systems that actually move money, people, and data.

The ones who know how the business really runs -
how approvals flow, how reconciliations break, how decisions actually get made.

AI isn’t missing potential.
It’s missing context.

I keep banging the drum on this one.
Business folks are just as - if not more - important than data scientists in AI.

Because it doesn’t matter how good your model is
if no one in the room actually knows what “good” looks like.

Most orgs don’t have an AI problem.
They have a domain judgment problem.

The people who actually know their craft - the ones who can look at a model’s output and say “that’s wrong” without a dashboard -
are the ones who’ll make AI useful.

You don’t need more data scientists.
You need more people who know what they’re doing.

AI is taking accounting jobs.
But not his.

When layoffs started, he didn’t polish his resume -
he opened ChatGPT.

Now he’s “vibe coding” — building apps, automations, and tools that replace the work he used to do manually.
No computer science degree. Just curiosity.

He didn’t wait for AI to take his job.
He learned to take AI’s job for himself.

AI isn’t taking people’s jobs. It’s deleting the entry point.

A Harvard study found that when companies start using AI, they don’t usually fire people -
they just stop hiring beginners.

So the seniors stay.
But no one new comes in.

That might sound smart in the short term,
but it’s a slow disaster - because those “junior” roles were how people learned the craft.

If no one learns the basics,
who becomes the next expert?

AI didn’t remove opportunity.
It removed training disguised as busywork.

Now companies have to build real ways for people to learn...
or they’ll run out of people who actually know what they’re doing.

This is the shift no one wants to admit:

Automation isn’t killing careers.
It’s killing bureaucracy.

The people who’ll thrive aren’t the ones defending old roles.

They are the ones rebuilding new ones around intelligence, not repetition.

The question isn’t “Will AI replace us?”

It’s “Are we doing work that deserves to survive?”

Every company has both:

People who follow processes.
And people who question, rework, rebuild.

Before AI, that difference was subtle.
Now it's blindingly obvious.

Because AI gives leverage.
But only to those who know how to use it.

So the gap grows.

The followers wait for instructions.
The builders get 10x output, quietly and consistently.

This isn't about who's smarter.
It's about who's playing offense with new tools.

Ask better questions.
Builder sharper scaffolding.
And use AI to do your thinking, not replace it.


https://lnkd.in/eb-ycK-e

Woohoo, I made it in the hype video

Life goal accomplished!

It's almost time for #MSIgnite!  Will you be joining us on the show floor or in the #EYFrontierZone where you can dive into proven AI strategies, learn more about the #TaxDepartmentoftheFuture, and hear from #EY and #Microsoft leaders?  Learn more here https://lnkd.in/eRKECYDq 
#EYMicrosoft #AgenticEnterprise #AgenticFrontier #Tax
Colleen Sebra Christopher Aiken Daren Campbell Justin Shafer Ivan Roussev Suzi Russell-Gilford Coskun Cavusoglu Jon Cisler Phillip Mazzie Kristen Matthews, MBA Rory Moore Rebecca Paterson Jessica Maher Dhivya K

Accenture spent $2.3B - not to grow, but to shed.
To move faster. To rebuild around what’s next.

That’s what bold looks like.

Meanwhile, half of the enterprise world is still in pilot purgatory -
writing decks about “AI strategy” while the future ships without them.

You can’t plan your way into disruption.
You act your way into it.

The risk isn’t doing too much too soon.
It’s thinking you still have time.

If your job is just tasks, you’re not an employee.
You’re a cog.

That’s what Jensen meant when he said:
“Your job has to be more than the task.”

Because the task is the part AI eats first.
The checklist.
The template.
The handoff.
The thing anyone could do with enough time and instructions.

If that’s your identity at work, you won’t survive this wave -
not because you're not smart,
but because the system never asked you to be anything more.

AI exposes that.

It shows you exactly where you’ve been replaceable all along.

The future belongs to the people who stop being the task and start being the reason the task exists.

People pleasing looks helpful.

But it kills clarity in AI work.

❌ “Sure, we can try that too.”
❌ “Let’s just keep both versions.”
❌ “Whatever works for you.”

You end up with no ownership, no standards and a bloated mess of tools.

Saying “no” is part of building.
So is being disliked sometimes.

Good AI work is useful, not agreeable.



https://lnkd.in/eQcfDTDH

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The Battle

Marcello Duarte Vieira

Mary Fung

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The Battle

Marcello Duarte Vieira

Mary Fung

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Mary Fung's LinkedIn Performance

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