Paulo Valente
Software Engineer at TV Labs
Rio de Janeiro, Brazil
Summary
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RockstarPaulo Valente is a software engineer with 10 years of experience specializing in Elixir, numerical computing, and real-time systems, currently maintaining platform systems and DSP/AI applications at TV Labs. As a core maintainer of the Numerical Elixir ecosystem, he has implemented foundational numerical algorithms (QR, SVD, p-norms), complex number support, and contributed to Axon neural network tooling, blending data-science rigor with backend engineering. His open-source work spans performance-sensitive libraries (Nx, Axon, gRPC, Tesla) where he has improved testing, dependency management, telemetry, and robustness for production use. Comfortable across embedded systems, DevOps, and backend services, Paulo brings both research experience in audio processing and a musician’s attention to detail to engineering problems.
10 years of coding experience
7 years of employment as a software developer
English, Portuguese, Spanish
Github Skills (29)
nxos10
middleware10
erlang10
operation10
optimizers10
elixir10
testing10
tensorrt10
optimizer10
complex-numbers10
http-client10
deep-learning10
tensorflow10
retry-logic10
neural-network10
Programming languages (9)
Github contributions (5)
elixir-nx/nx
Feb 2021 - Jan 2023
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1280 reviews, 213 commits, 819 PRs in 1 year 11 months
Contributions summary:Paulo implemented core numerical functionalities, including the p-norm definitions, QR decomposition, and SVD algorithms, within the Elixir-based numerical library, `nx`. Their contributions involved significant code changes in `nx/lib/nx.ex` and the `exla` directory, specifically relating to tensor operations and mathematical computations. Furthermore, they added support for complex numbers and related functions to enhance the library's capabilities.
pytorchmulti-dimensionalxlajitgpu
elixir-grpc/grpc
Jul 2022 - Jul 2022
An Elixir implementation of gRPC
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:5 releases, 296 reviews, 13 commits in 15 days
Contributions summary:Paulo primarily focused on updating Elixir, Erlang, and related dependencies, indicating a role in maintaining the project's build environment and dependencies. They also addressed build and test configurations, including dropping support for older OTP versions and adding new ones. Furthermore, the user contributed to code formatting and addressed configuration issues. These changes demonstrate a blend of back-end and DevOps responsibilities.
rpcgoogle-protocol-buffersprotoprotobufgrpc
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