I'm Rodrigo Oliveira Lausanne, a software engineer focused on cloud-native systems, data platforms, and applied analytics across health-tech, telecom, and AI-driven environments. I have a proven track record with Azure and GCP, Python, Kubernetes, and building ML pipelines in regulated settings. Based in Switzerland on a B Permit, I enjoy turning complex data into practical solutions.

Rodrigo Oliveira Lausanne

I'm Rodrigo Oliveira Lausanne, a software engineer focused on cloud-native systems, data platforms, and applied analytics across health-tech, telecom, and AI-driven environments. I have a proven track record with Azure and GCP, Python, Kubernetes, and building ML pipelines in regulated settings. Based in Switzerland on a B Permit, I enjoy turning complex data into practical solutions.

Available to hire

I’m Rodrigo Oliveira Lausanne, a software engineer focused on cloud-native systems, data platforms, and applied analytics across health-tech, telecom, and AI-driven environments.

I have a proven track record with Azure and GCP, Python, Kubernetes, and building ML pipelines in regulated settings. Based in Switzerland on a B Permit, I enjoy turning complex data into practical solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
French
Beginner
German
Beginner

Work Experience

Software Development Engineer at Sophia Genetics
January 1, 2024 - December 1, 2025
Designed and implemented Azure-based, cloud-native architectures supporting large-scale genomic data processing in regulated environments. Built and maintained CI/CD pipelines and containerized workloads, improving deployment reliability and cost efficiency. Developed secure data integration workflows aligned with ISO, HITRUST, and C5 requirements. Collaborated with cross-functional teams across engineering, security, and compliance to streamline platform operations and governance.
Software Consultant at ETH Zurich
December 1, 2025 - Present
Improved the compile time and runtime of the StagYY physics simulation project when running on the Euler supercomputer cluster. Refactored old code bases and upgraded them to modern standards. Added new features related to Fluid Dynamics and Navier–Stokes equation solver.
Analytics Expert at Nokia Lisbon
February 1, 2023 - January 1, 2024
Designed and maintained data pipelines in Python and Java to analyze large-scale telecom network data. Developed internal automation tools to improve data workflow efficiency and reliability. Deployed and managed GCP environments using IaC. Supported anomaly detection and analytics used for operational and business decision-making.
Data Science Intern at Asteroid Mining Corporation
January 1, 2022 - December 1, 2022
Developed machine learning models for classification of asteroid sample data. Identified key sensor features and metrics to support future space mission design.

Education

Master in Geophysics at FCUL - University of Lisbon, Lisbon, Portugal
January 1, 2021 - January 1, 2023
Bachelor in Geophysics at FCUL - University of Lisbon, Lisbon, Portugal
January 1, 2018 - January 1, 2021

Qualifications

AI/ML Certification
January 11, 2030 - January 21, 2026
Cloud Infrastructure Certification
January 11, 2030 - January 21, 2026
Data Governance & Cybersecurity Certification
January 11, 2030 - January 21, 2026

Industry Experience

Software & Internet, Healthcare, Life Sciences, Telecommunications, Professional Services