ISAC.SANTOS

Engineering · Architecture · Artificial Intelligence

Engineering
Beyond Code.

I turn complexity into intelligent solutions. Systems architecture, software engineering and AI applied to real problems, connecting technology, strategy and execution.

Explore capabilities See my career path
IS.ISAC SANTOSAI ENGINEERINGRAG / AGENTS / LLM01ARCHITECTURESYSTEM DESIGN / SCALE02SOFTWAREAPI / BACKEND / WEB03INTEGRATIONAPI / AUTOMATION06DATA & KNOWLEDGEKNOWLEDGE / VECTOR05LEADERSHIPTECH LEAD / BUSINESS04

System Thinking. Every capability connects to the others. Good solutions come from understanding the whole system: problem, architecture, code, data and people.

00 / CORE

System Thinking

Every capability connects to the others. Good solutions come from understanding the whole system: problem, architecture, code, data and people.

Hover or select a module to see how the capability connects.

01 / INTELLIGENCE

AI Engineering

AI applications that go beyond the prompt: retrieval-augmented generation (RAG), multi-agent orchestration, local models and answer evaluation.

  • LangGraph
  • Ollama
  • RAG
  • Python

Capabilities

  • RAG and Agentic RAG
  • Multi-agent orchestration
  • Local LLMs and model selection
  • Answer evaluation and traceability

Connects with

02 / STRUCTURE

Solution Architecture

Systems architecture and deliberate technical decisions: the right structure for the problem, integrated with what already exists and ready to grow.

  • System Design
  • APIs
  • Infrastructure

Capabilities

  • Systems architecture
  • Technical decisions and trade-offs
  • Systems integration
  • Scalability and evolution

Connects with

03 / DELIVERY

Software Engineering

APIs, backend and web applications built with quality, from conception to maintenance and continuous evolution.

  • FastAPI
  • Vue / Nuxt
  • TypeScript
  • PostgreSQL

Capabilities

  • APIs and backend
  • Web applications
  • Quality and testing
  • Maintenance and evolution

Connects with

04 / DIRECTION

Technical Leadership

Technical direction and multidisciplinary collaboration, connecting engineering, people and business goals.

  • Public sector
  • Research
  • Institutions

Capabilities

  • Technical leadership
  • Multidisciplinary teams
  • Bridge between business and technology
  • Product prioritization and evolution

Connects with

05 / MEMORY

Data & Knowledge

Data and knowledge organized for systems and models: ingestion, chunking, embeddings, vector search and source curation.

  • PostgreSQL
  • pgvector
  • Embeddings

Capabilities

  • Source ingestion and preparation
  • Embeddings and vector search
  • Data modeling
  • Knowledge bases

Connects with

06 / FLOW

Integration & Automation

Systems, services and people connected through APIs and automated flows, with less manual work and fewer points of failure.

  • REST
  • SSE
  • n8n

Capabilities

  • API integration
  • Process automation
  • Flow orchestration
  • Events and streaming

Connects with

ENGINEERING ECOSYSTEM

Institutional track record

Systems built for real institutions.

Over 15 years across public finance, justice, research, geology, innovation and professional associations.

  1. 2009 – 2010

    Developer / Intern

  2. 2010 – 2012

    Developer / Intern

  3. 2012 – 2013

    Junior Developer

  4. 2013 – 2014

    Mid-level Developer · Lisan Health

  5. 2014 – 2022

    Software Engineer

  6. 2023 – 2024

    Senior Solutions Architect · via G4F

  7. 2024 – 2026

    Consultant · AI Eng

01 / About

Photo of Isac Costa dos SantosLead engineer
Isac Costa dos SantosSolutions Architect & Tech LeadAI, Software and ArchitectureComputer Engineering · CREA-BAProject ManagementIT Governance

01 / About

Turning problems into technology solutions.

Over 15 years building custom solutions, systems architecture and platform integration, always starting from the real needs of each institution.

The path went through public finance, public defense, scientific research, geology, startups and professional associations. In each of them the work was the same: understand the process, integrate departments and systems, automate what was manual and modernize services.

From software engineering to solution architecture and technical leadership, the natural evolution was Artificial Intelligence Engineering: RAG, multi-agent systems and language models applied with the same engineering rigor.

years in technology
15+
organizations
7
relevant projects
10

Evolution

  1. Software
  2. Architecture
  3. Leadership
  4. AI

Project management

  1. 01Project initiation
  2. 02Organization and planning
  3. 03Execution and control
  4. 04Closure

ITIL · dimensions

  1. 01Organizations and people
  2. 02Information and technology
  3. 03Partners and suppliers
  4. 04Value streams and processes

02 / Expertise

Six areas,
one single system.

  • 01 / INTELLIGENCE

    AI Engineering

    AI applications that go beyond the prompt: retrieval-augmented generation (RAG), multi-agent orchestration, local models and answer evaluation.

    Capabilities

    • RAG and Agentic RAG
    • Multi-agent orchestration
    • Local LLMs and model selection
    • Answer evaluation and traceability
    • LangGraph
    • Ollama
    • RAG
    • Python

  • 02 / STRUCTURE

    Solution Architecture

    Systems architecture and deliberate technical decisions: the right structure for the problem, integrated with what already exists and ready to grow.

    Capabilities

    • Systems architecture
    • Technical decisions and trade-offs
    • Systems integration
    • Scalability and evolution
    • System Design
    • APIs
    • Infrastructure

  • 03 / DELIVERY

    Software Engineering

    APIs, backend and web applications built with quality, from conception to maintenance and continuous evolution.

    Capabilities

    • APIs and backend
    • Web applications
    • Quality and testing
    • Maintenance and evolution
    • FastAPI
    • Vue / Nuxt
    • TypeScript
    • PostgreSQL

  • 04 / DIRECTION

    Technical Leadership

    Technical direction and multidisciplinary collaboration, connecting engineering, people and business goals.

    Capabilities

    • Technical leadership
    • Multidisciplinary teams
    • Bridge between business and technology
    • Product prioritization and evolution
    • Public sector
    • Research
    • Institutions

  • 05 / MEMORY

    Data & Knowledge

    Data and knowledge organized for systems and models: ingestion, chunking, embeddings, vector search and source curation.

    Capabilities

    • Source ingestion and preparation
    • Embeddings and vector search
    • Data modeling
    • Knowledge bases
    • PostgreSQL
    • pgvector
    • Embeddings

  • 06 / FLOW

    Integration & Automation

    Systems, services and people connected through APIs and automated flows, with less manual work and fewer points of failure.

    Capabilities

    • API integration
    • Process automation
    • Flow orchestration
    • Events and streaming
    • REST
    • SSE
    • n8n

03 / Projects

Projects that connect
ideas and engineering.

Technical case studies, built to explore real problems with depth and a product mindset.

01 — AI PLATFORMCASE STUDY / IN DEVELOPMENT

Jurídico AI

A tax-law intelligence platform that combines document retrieval, multi-agent orchestration and evaluation of grounded answers.

  • LangGraph
  • RAG
  • FastAPI
  • pgvector
  • Ollama
  • OpenCode
  • Vue
  • SSE

Challenge

Answer Brazilian tax-law questions with verifiable grounding: every answer must show where it came from, which passages were used and which agents took part.

Approach

  1. 01
    Knowledge management

    Extensible ingestion per source type, chunking, embeddings and semantic search with metadata.

  2. 02
    RAG

    Retrieval over the knowledge base, context assembly and grounded generation.

  3. 03
    Multi-agent

    Specialized agents orchestrated by LangGraph, with conditional decisions and review.

  4. 04
    Evaluation and traceability

    RAGAS and DeepEval on the BR-TaxQA-R benchmark (UNICAMP); sources, passages and decisions recorded.

Personal project. Benchmark data is treated as study material, not as legal truth.

Talk about this project
02 — LOCAL AIEXPLORATION

Hub AI

An interface to explore AI models and experiences in a local environment.

  • Ollama
  • Strata
  • LLM
  • Model selector
03 — SYSTEMSEXPERIENCE

Institutional systems

Platforms for the public sector, research and professional associations: project and procurement management, document management, legal portals and third-party integrations.

  • Project management
  • Public procurement
  • Document management
  • Legal portals
  • Third-party integrations
  • Architecture
  • APIs
  • Integrations
  • Leadership

04 / Contact

Complex ideas.
Intelligent solutions.

Projects in solution architecture, AI engineering, technical leadership and digital transformation.

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