01
Backend
Python services and APIs built for clarity, security, performance, and maintainability.
- Python
- FastAPI
- REST APIs
- SQL
- SQLAlchemy
- Pydantic
- PostgreSQL
- RabbitMQ
- Celery
Software & Data Engineer
Hi, I'm
Leandro Tiburske
I build end-to-end products: robust Python APIs, data pipelines with Airflow and React experiences.
01 About
I build software from end to end.
I'm Leandro, a software engineer working across backend, frontend, and data engineering. I like to understand the whole problem and build solutions that are simple to operate, easy to evolve, and pleasant to use.
My perspective is end-to-end: from data modeling and automation to the API and the interface people interact with. Clean code, direct communication, and decisions grounded in context are all part of the process.
02 Expertise
From infrastructure
to experience.
Three areas that come together to deliver complete products.
02
Data Engineering
Orchestrated, observable pipelines that deliver reliable data to decision-makers.
- Airflow
- AWS
- Terraform
- Docker
- Kubernetes
- Grafana
- Bash
- Linux
- Git
03
Frontend
Responsive React interfaces that make complex workflows simple and intuitive.
- React
- JavaScript
- HTML
- CSS
03 Selected projects
Systems built
from end to end.
Projects where product thinking, infrastructure, and implementation meet.
01 / DATA PLATFORM↗
AI Monitoring
A cloud-native platform for monitoring AI models, GPU pricing, and industry intelligence, with infrastructure provisioned as code.
Tech stack
- Airflow
- AWS
- Terraform
- GitHub Actions
02 / FULL STACK↗
Variant Platform
A distributed full-stack platform with a React interface and FastAPI services, using RabbitMQ as the message broker and Celery workers for asynchronous processing.
Tech stack
- React
- FastAPI
- PostgreSQL
- RabbitMQ
- Celery
04 Experience
Some of
my experience
Building software, automation, and data systems across international teams.
Human Technopole
Bioinformatician (Software & Data Engineering)
- Automated HPC workloads processing tens of terabytes with Airflow, replacing weeks of recurring manual work.
- Built Python, PostgreSQL, and Grafana systems for compute metrics.
- Reduced a compute-intensive pipeline's execution time by approximately 75% through GPU acceleration.
- Migrated spreadsheet-based operational workflows to a full-stack Python (NiceGUI) and PostgreSQL application, supporting production invoicing.
- Maintained the development of a data processing pipeline on GitHub, overseeing PRs, code reviews, and release cycles.
- Collaborated within an international and multidisciplinary team, using English as the primary working language.
BIOTROP
Data Engineering & Automation
- Optimized large-scale Python workloads through parallelization, reducing execution time by more than 60%.
- Configured Slurm on the company's HPC cluster to automate job scheduling and improve resource allocation.
- Presented data analysis results to clients through reports and meetings, explaining technical findings to non-specialist audiences.
Linköping University
Engineering Intern
- Developed and automated large-scale data processing pipelines with R and Bash, including scheduling for HPC environments.
05 Education
My education
A multidisciplinary foundation connecting software engineering, data, and science.
2024 — 2026
University of São Paulo · USP
MBA in Software Engineering
Focused on software engineering, with a capstone project developing a distributed platform for complex data processing.
2020 — 2024
University of São Paulo · USP
Bachelor's in Biomedical Sciences
A scientific foundation with emphasis on computational biology, data analysis, and bioinformatics.
Open to new connections
Let's stay in touch.
Let's talk about software, products, and opportunities.