International commercial professional with 10+ years of experience across B2B/B2G sales, cross-border trade, strategic partnerships, renewable energy, public-sector contracts, real estate investment and technology-enabled Business Development.

📍 Italy · Available for Local & International Roles
🌍 LATAM · Europe · MENA
🗣️ Portuguese · English · Italian · Spanish
🌐 ambrosinlegaltrade.com
💼 LinkedIn

Business first. Technology as leverage.

I use structured commercial logic, data and AI-assisted workflows to improve how companies qualify opportunities, prioritize revenue, engage prospects, develop partnerships and approach international growth.

My profile combines hands-on commercial execution with international exposure across Brazil, Europe and the Middle East.

My experience includes:

• International Business Development
• International Trade & Commodity Transactions
• Strategic Partnerships
• Buyer / Seller Origination
• Import / Export & International Sourcing
• Lead Qualification
• CRM & Pipeline Management
• GTM & Market Entry
• B2B & B2G Sales
• Public Procurement
• Commercial Negotiation
• Cross-Border Transactions
• AI-Assisted Commercial Workflows

I am particularly interested in opportunities involving:

• international business development
• new business acquisition
• pipeline development
• consultative B2B sales
• opportunity qualification
• commercial negotiations

• alliance development
• channel partnerships
• distribution
• market-entry partners
• ecosystem development
• institutional relationships

• go-to-market execution
• commercial prioritization
• CRM and pipeline management
• revenue operations
• account intelligence
• sales-process improvement

• buyer / seller origination
• international sourcing
• cross-border transactions
• market-entry strategy
• partner identification
• LATAM ↔ Europe ↔ MENA opportunities

• lead scoring
• partnership scoring
• decision-support models
• explainable prioritization
• AI-assisted commercial workflows
• lightweight internal tools for BD teams

My primary professional background is Business Development and international commercial activity — not software engineering.

I started building these projects because many Business Development decisions can be improved by combining:

COMMERCIAL EXPERIENCE
        +
STRUCTURED DATA
        +
EXPLAINABLE LOGIC
        +
AI ASSISTANCE
        +
HUMAN JUDGMENT

The applications in this portfolio are therefore built around practical commercial questions.

The portfolio is developing around a connected Business Development workflow:

IDENTIFY
Opportunity Discovery

        ↓

PRIORITIZE
Lead Qualification
Revenue Prioritization

        ↓

ENGAGE
Adaptive Outreach
Commercial Messaging

        ↓

PARTNER
Strategic Partnership Intelligence

        ↓

EXPAND
Global Market Entry Intelligence
🚧 In Development

Each layer addresses a different commercial decision.

The long-term objective is not to create isolated applications.

It is to explore how commercial intelligence can move through the complete Business Development lifecycle.

Repository:
Eambrosin/lead-qualification-scorer

Live Application:
Open the application

Business Development teams frequently have more potential opportunities than they have time and resources to pursue.

Prioritization may depend too heavily on:

• intuition
• deal size alone
• incomplete CRM information
• recent engagement
• subjective salesperson judgment

The result can be poor allocation of commercial effort.

Which opportunities deserve our attention and resources first — and why?

The platform converts commercial information into a structured lead-prioritization model.

It helps teams understand:

• which accounts deserve priority
• what factors are driving the score
• where revenue potential exists
• which opportunities require further qualification
• what commercial action may be appropriate next

• configurable commercial scoring
• weighted qualification logic
• explainable scores
• lead ranking
• revenue prioritization
• tier classification
• account intelligence
• executive dashboard
• pipeline visibility
• GTM recommendations
• optional AI-assisted insights
• outreach handoff

The core prioritization remains structured and transparent.

LEAD DATA
    ↓
COMMERCIAL FIT
    ↓
ENGAGEMENT
    ↓
REVENUE POTENTIAL
    ↓
WEIGHTED SCORE
    ↓
PRIORITY TIER
    ↓
NEXT ACTION

AI is used where it adds value rather than as an opaque ranking mechanism.

RAW OPPORTUNITIES
        ↓
QUALIFICATION
        ↓
PRIORITIZATION
        ↓
HIGH-VALUE ACCOUNTS
        ↓
OUTREACH INTELLIGENCE

This application represents the PRIORITIZE stage.

Repository:
Eambrosin/outreach-sequence-generator

Live Application:
Open the application

Traditional sales automation often applies the same outreach sequence to very different opportunities.

But effective Business Development depends on context.

An engagement strategy may need to consider:

• account priority
• commercial value
• relationship strength
• engagement history
• opportunity stage
• market
• language
• decision-maker profile
• urgency

How should we engage this opportunity based on its commercial context?

Adaptive Outreach Intelligence converts commercial signals into a structured engagement strategy.

The objective is not merely to generate an email.

It is to help determine:

• when to engage
• through which channel
• with what cadence
• with what commercial context
• in which language
• with what next objective

• opportunity prioritization
• adaptive cadence
• multi-step outreach
• channel strategy
• follow-up intelligence
• relationship-aware engagement
• commercial context analysis
• revenue-risk visibility
• multilingual outreach
• AI-assisted messaging
• personalized commercial communication

The commercial context is determined first.

AI can then help convert that context into communication.

COMMERCIAL CONTEXT
        ↓
PRIORITY
        ↓
ENGAGEMENT STRATEGY
        ↓
CHANNEL
        ↓
CADENCE
        ↓
AI-ASSISTED MESSAGE

This separates commercial reasoning from language generation.

The application can receive structured information from upstream Commercial Intelligence tools.

LEAD INTELLIGENCE
        ↓
Score
Tier
Commercial Context
Recommended Action
        ↓
ADAPTIVE OUTREACH
        ↓
Cadence
Channel
Message
Follow-up

It can also receive Partnership Intelligence:

PARTNERSHIP INTELLIGENCE
        ↓
Partnership Score
Archetype
Relationship Signal
Recommended Action
        ↓
OUTREACH STRATEGY

This application represents the ENGAGE stage.

The transition is:

Who deserves our attention?

to:

How should we approach them?

Repository:
Eambrosin/partnership-opportunity-finder

Live Application:
Open the application

Strategic partnerships are often evaluated through fragmented information.

Teams may consider:

• geography
• industry
• market access
• relationship strength
• opportunity value
• partner type
• execution complexity

But these variables are not always evaluated consistently.

Which partnerships should we prioritize, why, and what should we do next?

The Partnership Intelligence Platform turns partnership information into a configurable and explainable commercial decision model.

Each opportunity is evaluated through structured scoring and then enriched with:

• strategic interpretation
• partnership archetype
• recommended partnership model
• commercial priority
• next action
• outreach context

The current model evaluates seven dimensions:

The weighting model can be changed dynamically.

Weights are normalized automatically to maintain a consistent scoring framework.

• configurable partnership scoring
• explainable weighted logic
• strategic preference configuration
• fit tiers
• commercial priority
• partnership archetypes
• execution feasibility
• partnership-model recommendations
• recommended next actions
• regional intelligence
• portfolio analytics
• executive recommendation center
• opportunity-level workspace
• partnership thesis generation
• expansion-potential analysis
• outreach handoff
• downloadable partnership briefs

Users can understand how each score is produced.

RAW COMPONENT SCORE
        ↓
ACTIVE WEIGHT
        ↓
WEIGHTED CONTRIBUTION
        ↓
PARTNERSHIP INTELLIGENCE SCORE

The goal is to keep commercial prioritization:

• transparent
• reproducible
• configurable
• auditable

The system can identify partnership motions such as:

• Strategic Alliance
• Channel Partnership
• Market Access Partnership
• Technology Alliance
• Operational Partnership
• Institutional Partnership
• Referral Partnership

This changes the question from:

Is this a good partner?

to:

What type of partnership could create value with this organization?

The system does not stop at scoring.

It can also produce:

• strategic interpretation
• partnership thesis
• recommended partnership structure
• expansion assessment
• recommended next commercial action
• outreach handoff context

POTENTIAL PARTNERS
        ↓
PARTNERSHIP SCORING
        ↓
ARCHETYPE
        ↓
STRATEGIC INTERPRETATION
        ↓
COMMERCIAL PRIORITY
        ↓
PARTNERSHIP MODEL
        ↓
NEXT ACTION

This application represents the PARTNER stage.

International expansion is the next planned Commercial Intelligence layer.

It is deliberately presented as In Development, rather than as a finished product.

Once a company starts considering international expansion, the decision becomes more complex.

The question changes from:

Which account or partner should we pursue?

to:

Which market should we enter, through which route, and under what commercial conditions?

The future Market Entry Intelligence layer may consider:

• market attractiveness
• commercial accessibility
• regulatory complexity
• competitive intensity
• local partnership availability
• route-to-market
• execution complexity
• geopolitical context
• market-entry costs
• expansion risk
• expected commercial potential

TARGET MARKETS
        ↓
MARKET ATTRACTIVENESS
        ↓
COMMERCIAL ACCESS
        ↓
REGULATORY / EXECUTION COMPLEXITY
        ↓
LOCAL PARTNER ECOSYSTEM
        ↓
ENTRY MODEL
        ↓
MARKET PRIORITIZATION
        ↓
EXPANSION DECISION SUPPORT

The objective of this portfolio is not to maximize the number of projects.

Each application should represent a commercial problem credibly and reach a useful level of maturity.

For that reason, EXPAND will remain in development until the framework and application reach the same standard as the other core platforms.

Eambrosin/bd-frameworks-and-playbooks

Technology is useful only when the underlying commercial thinking is sound.

This repository documents practical frameworks covering:

• Business Development
• GTM
• strategic partnerships
• opportunity qualification
• commercial prioritization
• market entry
• international expansion
• commercial execution

The methodology behind the portfolio can be summarized as:

COMMERCIAL EXPERIENCE
        ↓
FRAMEWORK
        ↓
DECISION LOGIC
        ↓
DATA MODEL
        ↓
SOFTWARE
        ↓
COMMERCIAL ACTION

The applications are therefore not intended to be disconnected dashboards.

They are implementations of commercial decision frameworks.

Eambrosin/AI-Business-Development-Toolkit

This repository acts as the central hub for the broader Commercial Intelligence portfolio.

Its role is to show how separate applications can become part of a connected commercial workflow.

               COMMERCIAL INTELLIGENCE

                        │
         ┌──────────────┼──────────────┐
         │              │              │
         ▼              ▼              ▼

    PRIORITIZE        ENGAGE         PARTNER
 Lead Qualification  Outreach      Partnerships
 Revenue Priority    Cadence       Archetypes
 Account Intelligence Messaging    Strategic Fit

         │              │              │
         └──────────────┼──────────────┘
                        │
                        ▼

                      EXPAND
               Market Entry Intelligence
                  🚧 IN DEVELOPMENT

The tools in this GitHub are connected to commercial problems I have worked with directly.

Through Ambrosin Legal Trade, I developed and facilitated cross-border commercial opportunities involving buyers, sellers, suppliers and partners across LATAM, Europe and MENA.

Activities have included:

• market mapping
• buyer / seller origination
• counterparty qualification
• international sourcing
• export-development pipelines
• market-entry analysis
• commercial prospecting
• price negotiation
• transaction structuring
• international trade documentation

This experience directly informs the portfolio's focus on qualification, partnership intelligence and international expansion.

In international real estate and technology environments, I have worked directly with:

• hot and cold leads
• first-contact qualification
• consultative sales
• CRM pipeline management
• follow-up cadence
• opportunity progression
• high-value customers
• international prospects

This experience directly informs the PRIORITIZE and ENGAGE applications.

My work has also involved developing new business and partnership opportunities across international technology environments.

Activities included:

• prospecting
• lead qualification
• CRM management
• relationship development
• ecosystem partnerships
• stakeholder coordination
• international deal flow

This experience informs the PARTNER layer of the portfolio.

Over seven years in an executive role, I secured USD 3M+ in government contracts through procurement, negotiation and relationship development.

The operation supported 1,000+ employees across 15 cities, while the active contract portfolio expanded by approximately 40%.

This experience contributed to my understanding of:

• complex B2G sales
• long commercial cycles
• institutional stakeholders
• procurement
• contract execution
• performance management
• relationship-driven growth

As founder and Business Director of a solar-energy company, I helped build the business from zero to USD 1M+ in revenue within 18 months.

The work included:

• B2B pipeline development
• outbound prospecting
• consultative selling
• regional expansion
• supplier negotiations
• photovoltaic-equipment sourcing
• imports
• international logistics
• manufacturer and distributor relationships

Equipment was sourced primarily from China, as well as other international markets.

This experience strengthened my interest in the intersection between Business Development, international sourcing, partnerships and market expansion.

International Trade is an important part of my current professional positioning.

Areas of experience include:

• commodities
• buyer / seller origination
• international suppliers
• international buyers
• sourcing
• import / export
• cross-border transactions
• transaction documentation
• Incoterms
• market access
• commercial negotiation

This commercial perspective also influences how I think about future Market Entry Intelligence tools.

I am also a Brazilian-qualified lawyer.

I do not position this portfolio around legal practice.

Instead, the legal background supports my commercial work in areas such as:

• contract interpretation
• negotiation
• transaction documentation
• counterparty assessment
• public procurement
• risk awareness
• cross-border commercial relationships

In international Business Development, understanding both the commercial objective and the contractual structure around the transaction can be a useful advantage.

My professional experience has involved commercial environments across:

Particularly Brazil, including:

• Business Development
• B2B
• B2G
• public procurement
• renewable energy
• trade
• commercial advisory

My current professional focus includes European and international opportunities involving:

• Business Development
• strategic partnerships
• international trade
• GTM
• logistics
• renewable energy
• market expansion

Professional experience in the UAE contributed exposure to:

• international clients
• cross-cultural negotiation
• investment sales
• technology
• international trade
• market-entry dynamics
• commercial partnerships

LATAM
  ↕
EUROPE
  ↕
MENA

A recurring theme in my career is connecting commercial opportunities, counterparties and market access across these regions.

I do not believe AI should replace commercial judgment.

Certain decisions are better supported by deterministic logic.

Examples include:

SCORING
RANKING
WEIGHTING
THRESHOLDS
CLASSIFICATION

These processes benefit from being:

• transparent
• reproducible
• auditable
• configurable

Generative AI can operate on top of structured commercial information.

Useful applications include:

• company research
• account intelligence
• commercial summaries
• partnership hypotheses
• outreach personalization
• multilingual communication
• meeting preparation
• market research
• commercial synthesis

The architecture I am exploring can be summarized as:

STRUCTURED COMMERCIAL LOGIC
            +
DETERMINISTIC SCORING
            +
DATA ANALYSIS
            +
AI ASSISTANCE
            +
HUMAN JUDGMENT

A principle increasingly shared across my projects is:

If a system influences commercial prioritization, the professional using it should be able to understand why.

This matters when software affects:

• sales-resource allocation
• lead priority
• partnership priority
• follow-up intensity
• market-entry decisions

Commercial Intelligence should support judgment rather than hide it.

The objective is not simply to create dashboards.

A dashboard may answer:

What is happening?

A Commercial Intelligence system should move further:

WHAT IS HAPPENING?
        ↓
WHY DOES IT MATTER?
        ↓
WHAT SHOULD WE PRIORITIZE?
        ↓
WHAT SHOULD WE DO NEXT?

The applications are designed as decision-support systems, not autonomous commercial decision makers.

SYSTEM
analyzes structured signals
        ↓
SYSTEM
produces commercial intelligence
        ↓
PROFESSIONAL
reviews the context
        ↓
PROFESSIONAL
makes the decision
        ↓
TEAM
executes

Human commercial judgment remains central.

The technical stack is intentionally practical.

• Python

• Pandas
• CSV
• structured datasets
• data normalization

• Streamlit

• Plotly

• REST APIs
• AI / LLM APIs

• Git
• GitHub
• Pytest
• automated testing
• GitHub Actions

• LLM integration
• prompt design
• structured AI outputs
• multilingual generation
• AI-assisted development

This portfolio is not intended to reposition me as a traditional software engineer.

The professional story is:

INTERNATIONAL BUSINESS DEVELOPMENT
              +
INTERNATIONAL TRADE
              +
STRATEGIC PARTNERSHIPS
              +
COMMERCIAL EXPERIENCE
              +
STRUCTURED THINKING
              +
TECHNOLOGY

Technology is the additional capability that allows me to turn commercial frameworks into practical systems.

The projects begin with real Business Development problems.

Commercial environments differ across markets, cultures and regulatory contexts.

That perspective influences the way I approach GTM, partnerships and market expansion.

Commercial decisions can often be decomposed into:

• criteria
• weights
• thresholds
• classifications
• stages
• workflows

Modern commercial professionals increasingly benefit from understanding:

• data
• automation
• APIs
• AI
• lightweight internal applications

Every project ultimately moves toward the same question:

What should the commercial team do next?

Is this opportunity worth pursuing?

Which opportunity deserves attention first?

How should we engage this account?

What kind of partnership could create value?

Which market should we enter, and through which route?

Solve identifiable commercial problems.

Examples:

• lead scoring
• outreach
• partnership evaluation

Combine:

• commercial data
• scoring
• explainability
• interpretation
• recommendation

Allow structured information to move between applications.

LEAD INTELLIGENCE
        ↓
OUTREACH INTELLIGENCE
        ↓
PARTNERSHIP INTELLIGENCE
        ↓
MARKET ENTRY INTELLIGENCE

The portfolio is progressively moving toward this connected architecture.

Continue improving qualification, explainability and revenue prioritization.

Improve the connection between opportunity context and commercial engagement.

Continue developing practical models for partnership evaluation and execution.

Strengthen the handoffs between:

PRIORITIZE
    ↓
ENGAGE
    ↓
PARTNER

Develop the future EXPAND layer only when its framework and product experience are mature enough to be useful.

Purpose:
Qualify and prioritize commercial opportunities.

View Repository

Purpose:
Translate commercial context into adaptive engagement strategy.

View Repository

Purpose:
Evaluate, prioritize and operationalize strategic partnership opportunities.

View Repository

Purpose:
Document the Business Development frameworks behind the applications.

View Repository

Purpose:
Connect the individual tools into a broader Commercial Intelligence architecture.

View Repository

Status: 🚧 In Development

Purpose:
Support structured international market-selection and market-entry decisions.

ACCOUNT / COMPANY DATA
        ↓
LEAD QUALIFICATION
        ↓
Commercial Score
Priority
Revenue Potential
        ↓
OUTREACH INTELLIGENCE
        ↓
Cadence
Channel
Message
        ↓
RELATIONSHIP DEVELOPMENT
        ↓
PARTNERSHIP INTELLIGENCE
        ↓
Fit
Archetype
Model
Next Action
        ↓
MARKET ENTRY INTELLIGENCE
        ↓
Target Market
Entry Model
Local Ecosystem
        ↓
COMMERCIAL EXECUTION

🌐 www.ambrosinlegaltrade.com

My professional website provides additional context around my work involving:

• international Business Development
• international trade
• market-entry support
• cross-border commercial opportunities
• commercial and transaction advisory

It complements this GitHub portfolio by showing the broader professional background behind the Commercial Intelligence projects.

ambrosinlegaltrade.com

linkedin.com/in/eduardoambrosin

github.com/Eambrosin

INTERNATIONAL BUSINESS DEVELOPMENT
                │
                ├── INTERNATIONAL TRADE
                │
                ├── GTM
                │
                ├── STRATEGIC PARTNERSHIPS
                │
                ├── COMMERCIAL OPERATIONS
                │
                ├── MARKET EXPANSION
                │
                └── COMMERCIAL INTELLIGENCE
                          +
                   AI-ASSISTED WORKFLOWS

The goal is not to build the largest possible number of applications.

The goal is to progressively build a coherent set of commercial tools around decisions that actually matter.

WHAT SHOULD WE PURSUE?
        ↓
WHO SHOULD WE PRIORITIZE?
        ↓
HOW SHOULD WE ENGAGE?
        ↓
WHO SHOULD WE PARTNER WITH?
        ↓
WHERE SHOULD WE EXPAND?
        ↓
WHAT SHOULD WE DO NEXT?

I believe the strongest use of technology in Business Development is not replacing the commercial professional.

It is giving that professional:

better information

better prioritization

better structure

better preparation

better execution

and ultimately,

International Business Development · Strategic Partnerships · GTM · International Trade · Commercial Intelligence

📍 Italy · Available for Local & International Roles
🌐 ambrosinlegaltrade.com
💼 LinkedIn
💻 GitHub