I’m a backend software engineer at Datadog in Paris, working on the error deobfuscation platform: the systems that turn minified JavaScript and native crash reports into readable stack traces.

I have 7+ years of experience building reliable, cost-efficient distributed systems. At Datadog, I shipped JavaScript Debug IDs, cutting duplicated symbol ingestion by 95%+, delivered native crash symbolication across Windows, macOS, iOS and Linux, and cut on-call pages by 98%.

Skills

  • Key skills: Backend Systems, Distributed Systems, Production Incident Investigation, Observability, Systems Reliability
  • Programming: Go, Rust, JavaScript/TypeScript, Python, SQL (PostgreSQL)
  • Tools: Kubernetes, Terraform, Docker, Kafka, Redis, AWS S3, gRPC, Datadog, Bazel
  • Languages: Portuguese (native), English (C1-C2), French (B1)

Milestones

  • Sep 2026: Shipped JavaScript Debug ID support for source maps at Datadog (docs).
  • Apr 2026: Started as a Software Engineer at Datadog, on the error deobfuscation platform.
  • 2024: Altice Labs Award for Best Master’s Student, Évora University (certificate).
  • 2024: Datadog Top Dog Award (Q2).

Education

  • Master of Software Engineering, Évora University (2024). Thesis: Medical Data Hub, a privacy-first platform for querying and processing sensitive medical data.
  • Bachelor of Software Engineering, Coimbra Higher Institute of Engineering (2019). Internship thesis.

Outside work

I enjoy reading non-fiction and leadership books, investing, startup operations, football and my homelab.

Find me on LinkedIn and GitHub.