Software Developer focused on Data, AI and production-ready full-stack systems.
I build public, documented projects with APIs, dashboards, pipelines, tests, Docker environments and technical decision records.
I am developing a portfolio around practical software engineering for data-intensive and intelligent systems. My work connects data engineering, backend APIs, frontend dashboards, automation, observability and documentation so each project can be inspected, executed and evaluated by recruiters or technical reviewers.
Current focus:
- Data Engineering, ETL, data quality, schema drift and lineage.
- AI Engineering, MLOps, deterministic RAG and model monitoring.
- Backend systems with FastAPI, Spring Boot, PostgreSQL, Redis and Docker.
- Frontend dashboards with React, Vue, Angular and TypeScript.
- Clear READMEs, tests, local execution flows and technical documentation.
The portfolio website organizes my main projects as case studies with problem, role, architecture, evidence, limitations and public repository links.
Access: https://engineering-atlas.lucas3rd.chatgpt.site
| Primary track | Data Engineering, AI Engineering, Backend and Full-Stack Product Development |
| Project style | Public repositories with README, local setup, Docker, tests, architecture docs and roadmap |
| Strong signals | MLOps, ETL, data quality, RAG, dashboards, APIs, async workers and auditability |
| Availability | Open to remote opportunities and technical conversations |
| Project | What it demonstrates | Main Stack |
|---|---|---|
| DriftPainel | Full-stack MLOps platform for monitoring data drift, ranking feature severity and recommending monitor/retrain actions. | FastAPI, React, Celery, Redis, PostgreSQL, MinIO, Docker |
| AI Data Quality Checker | CSV data quality analysis with dataset score, column rules, recommendations, history and Markdown/HTML exports. | FastAPI, Pandas, SQLite, Vue 3, TypeScript, Docker |
| Portal Paroquial Integrado | Institutional web platform foundation with module-based access, auditability and a complete vertical CRUD flow. | Java 21, Spring Boot, Angular, Keycloak, PostgreSQL, Docker |
| Pass-To-Pass | ChatOps runbook assistant with deterministic RAG, source-backed answers, confidence score and operational dashboard. | FastAPI, React, PostgreSQL, pgvector, Celery, Redis, Docker |
| VagasInLine | ETL and analytics platform for remote job intelligence with safe web collection, Medallion layers, quality and lineage. | FastAPI, Vue 3, DuckDB, Parquet, Pandas, TypeScript, Docker |
| Practice | How it appears in my projects |
|---|---|
| Documentation-first delivery | READMEs, portfolio briefs, architecture notes, API contracts and roadmap docs |
| Reproducible local execution | Docker Compose, Makefiles, .env.example, setup commands and health checks |
| Testable behavior | Backend tests, frontend tests, rendered HTML checks and CI-ready workflows |
| Data reliability | Quality rules, schema drift, lineage, scoring, history and exportable reports |
| Product thinking | Dashboards, operational flows, downloadable artifacts and recruiter-readable case studies |
- Expanding portfolio case studies with screenshots and deployment notes.
- Improving CI/CD coverage across public repositories.
- Adding observability, authentication and production-readiness details to selected projects.
- Preparing more applied AI/data projects with measurable evaluation criteria.
Portfolio · GitHub · LinkedIn · lucasgarciasouza12@gmail.com