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CHAPTER 00 — THE BUILDER’S OBSERVATORY

BEHIND EVERY LINE
OF CODE, THERE
IS A BUILDER.

I build APIs, AI integrations and data-driven systems.

EDUREPO ↗Knowledge, organized.
01 — Foundation

It starts with a foundation.

Keep contracts consistent as the system evolves.

History records my contribution propagating execution context along a feature’s path from handlers through services and repositories. Request context is passed as the first argument in corresponding interfaces and operations.

01

DIT / IFAL

Private professional case · Mar 2025–Sep 2026

GoEchoGORMPostgreSQL
Case study →
FIG. 01 — FOUNDATIONIllustrative architecture · explore the project
INDEX OF BUILDS

From concept
to code.

Three perspectives on engineering: applied AI, deterministic data and asynchronous market systems.

View all projects ↗17 projects & contributions
02 — Structure

Give ideas a structure.

Knowledge needs versions, permissions and history.

EduRepo organizes academic work as versioned repositories. Titles, abstracts, institutions, authors, advisors and attachments form a structure that needs to evolve without losing history.

02

EduRepo

Personal project · in development

Next.jsTypeScriptPrismaPostgreSQL
Case study →
FIG. 02 — ARCHIVEIllustrative architecture · explore the project
03 — Intelligence

From information to structure.

From PDF methodology to a verifiable strategy specification.

StratHUB explores how trading methodologies described in documents can become explicit, verifiable rules. PDFs can mix explanations, charts and entry, exit and risk criteria; that information needs structure before another system can consume it.

03

StratHUB

Personal project · in development

PythonFastAPIRustTypeScript
Case study →
FIG. 03 — INTELLIGENCE LABIllustrative architecture · explore the project
04 — Systems and markets

Events become state.

Explainable market data, reproducible state.

Argus investigates the technical foundations of a market-analysis platform: receiving events, representing an order book, preserving data provenance and reproducing state later. Its central question is how to trust a data sequence before building visualizations or decisions on top of it.

04

Argus

Personal project · public source · work in progress

RustL2 order booki128SPSC
Case study →
FIG. 04 — OBSERVATORYIllustrative architecture · explore the project
Isaac ValerianoThe person behind the build.
05 — THE BUILDER

Isaac
Valeriano.

Engineering connects my two ways of seeing the world: Economics and Data Science. I build software to turn questions into systems we can understand, test and improve.

UFAL
Economics · in progress
INFNET
Data Science · in progress
DIT / IFAL
Back-end · Mar 2025 — Sep 2026
AVAILABILITY
Fully remote · advanced English
Tools I build with +

Back-end: Go (Golang), Python, Rust, JavaScript, TypeScript, Node.js, FastAPI, Express.js, Echo, GORM, Pydantic, REST APIs, WebSocket, webhooks, async and concurrency.

Data: SQL, PostgreSQL, SQLite, Redis, Prisma, SQLAlchemy, data modeling and validation.

AI: LLMs, embeddings, RAG components, agents, PDFs, JSON Schema, PyTorch, CPU/GPU inference and speech synthesis.

Cloud/DevOps: AWS SDK, S3-compatible storage, Docker, Docker Compose, Kubernetes, Git, GitHub Actions, CI/CD, OpenTelemetry, Prometheus, Grafana and logs.

Quality: DDD, TDD, hexagonal architecture, OOP, refactoring, mocks, pytest, Vitest, Playwright, unit, integration, E2E and property-based tests.

Security: JWT, RBAC, signed URLs, audit trails and upload validation.

Web/mobile: React, Next.js, Vite, Tailwind CSS, HTML5, CSS, Flutter, Dart and responsive design.

Other: CLI, packaging, scheduling, data structures, order books, deterministic replay, risk controls, Scrum and Kanban.

06 — THE NEXT BUILD

What shall we
build next?

Open to remote opportunities in back-end and applied AI. Based in Brazil, building with teams around the world.

AVAILABLE FOR FULLY REMOTE WORK