Software Engineer | Python & Django Developer | HPC SysAdmin / DevOps

I'm Wes, a software engineer with strong experience in Python-based full stack development and Linux infrastructure, currently working in High-Performance Computing (HPC) environments at Instituto Butantan.

I design, build, and maintain scalable backend systems, RESTful APIs, and asynchronous processing pipelines, frequently operating in critical production environments that handle large-scale scientific and biological data.

My work often involves integrating web applications with complex infrastructure, including containerized services, job schedulers, and distributed workloads, ensuring reliability, performance, and maintainability.

I hold a degree in Systems Analysis and Development (FATEC-SP) and a bachelor’s degree in Biotechnology (University of São Paulo – USP), which allows me to bridge software engineering best practices with scientific, data-driven problem solving.

• Backend & Full-Stack development with Python
• Django applications following clean architecture principles
• RESTful APIs and asynchronous processing
• Celery + RabbitMQ for distributed workloads
• Linux servers, HPC clusters (SLURM), and automation
• Containers, CI/CD, and infrastructure as code
• Scientific computing & bioinformatics pipelines

Instituto Butantan | Aug 2024 – Present

• Administration and continuous evolution of a scientific HPC infrastructure.
• Deployment and customization of Open OnDemand integrated with Apache and NGINX.
• Configuration and tuning of SLURM queues, policies, and job templates.
• Packaging and distribution of 30+ scientific applications using Apptainer/Singularity with Lmod.
• Infrastructure automation using Ansible with versioned roles and playbooks.
• Integration of authentication systems (LDAP, Keycloak, MFA).
• Technical documentation and user onboarding with MkDocs.

VenOmiCS4BD – Instituto Butantan | Nov 2023 – Aug 2024

• Full-stack development of a scientific web platform using Django.
• Design and maintenance of REST APIs and backend services.
• Asynchronous task processing with RabbitMQ and Celery.
• Containerized deployments and CI/CD pipelines using GitHub Actions.
• Server maintenance with focus on data integrity and security.

Instituto Butantan / CNPq | 2021 – 2023

• Development of machine learning models for toxin classification.
• Analysis of transcriptomic and proteomic datasets.
• Creation of computational pipelines in Linux-based environments.

• B.Sc. in Biotechnology – University of São Paulo (USP)
• A.S. in Systems Analysis and Development – FATEC-SP

⭐ If you are interested in Python, Django, backend systems, automation, or scientific computing, feel free to explore my repositories.