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I build backend services, AI integrations and data-oriented systems. My professional experience includes backend work at DIT / IFAL; my personal projects explore document processing, agent coordination and market-data infrastructure.
I’m studying Economics at UFAL and Data Science at Instituto Infnet. I’m looking for 100% remote opportunities in Back-End Engineering and Applied AI, including financial products, with teams in Brazil or abroad.
EduRepo — Academic repositories need more than file storage. I explore versioning, collaboration, access control and audit trails using Next.js, TypeScript, Prisma, PostgreSQL and Redis. Personal project. Case study ↗
StratHUB — Turning information in PDFs into structured strategy specifications through segmentation, embeddings, LLM integration and JSON Schema / semantic validation. Experimental project, in development. Case study ↗
Argus — Rust foundations for canonical events, L2 order books, JSONL/checkpoints, deterministic replay and observability. 176 local tests passed; public source, in development. Case study & evidence ↗
MERCURY — Multi-platform event normalization, net-cost spread evaluation, risk gates, dry-run execution and SQLite-backed reconciliation. 79 offline library tests passed; public source, in development. These are engineering checks, not live trading performance. Case study & evidence ↗
AIBE — An experimental agent registry and task-routing system with persistence and Python APIs. FastAPI, SQLAlchemy, PostgreSQL and Redis; unit and integration tests. Private personal project. Related project summary ↗
More experiments
- TTSapi — My FastAPI/infrastructure adaptation of StyleTTS2, preserving model-author attribution. Static verification confirms 9 explicit routes, 4 audio formats and 7 Grafana visualization panels; inference was not benchmarked. Public source; upstream MIT and a noncommercial license for my original API additions. Case study & configuration preview ↗
- RespiraBem — Flutter / Dart application with a local schedule, SQLite and weather integration.
- More projects and authorized summaries: portfolio ↗. Private code and internal data remain private.
DIT / IFAL · Backend Software Engineer · March 2025 – September 2026
Contributed to a REST API using Go, Echo, GORM and PostgreSQL. Work included refactoring context.Context propagation across handlers, services and repositories, plus updates to interfaces, mocks and tests. Institutional repository is private; the portfolio presents an illustrative case study.
- Back-end: Go, Python, Rust, TypeScript, FastAPI and Echo.
- Data: PostgreSQL, Redis, SQL, modeling and validation.
- Applied AI: LLMs, embeddings, RAG components and PyTorch.
- Delivery & quality: Docker, GitHub Actions, CI/CD, automated tests and observability.
Complete stack — used across professional work and personal projects
- 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.
UFAL — Bachelor’s degree in Economics, in progress · 2026–2030 expected.
Instituto Infnet — Data Science degree, in progress · 2026–2028 expected.
Languages — Portuguese; advanced English.
The calendar uses real public GitHub data. Source data
Open to 100% remote opportunities in Back-End Engineering and Applied AI.
Portfolio ↗ · LinkedIn ↗ · Résumé ↓ · Email ↗
Apresentação em português
Sou Isaac Valeriano. Construo serviços back-end, integrações de IA e sistemas orientados a dados. Minha experiência profissional inclui trabalho no DIT/IFAL com Go, Echo, GORM e PostgreSQL, entre março de 2025 e setembro de 2026.
Curso Ciências Econômicas na UFAL e Data Science no Instituto Infnet. Nos projetos pessoais, exploro processamento de documentos, integração de LLMs, coordenação de agentes e infraestrutura para dados de mercado.
Busco oportunidades 100% remotas em Back-End e IA aplicada, no Brasil ou no exterior, com interesse especial em produtos financeiros. Inglês avançado.