Wilder Rodrigues
Computer Vision Research Engineer at Harmattan AI
Utrecht, Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolWilder Rodrigues is a seasoned Computer Vision Research Engineer with 12 years of experience building and deploying deep learning systems across industry and startups, currently leading CV research at Harmattan AI. He has a strong track record in SOTA object detection, tracking and model optimization (TensorRT, quantisation) from work on FCAS and production systems, and has moved seamlessly between research, engineering and ops roles. Wilder is an active open-source contributor (notably adding the SineReLU activation to the popular keras-contrib repo) and an Apache PMC member, reflecting long-standing commitment to code quality and community. His background spans embedded and cloud systems to NPU acceleration and SLAM/NeRF research, blending practical deployment skills with academic curiosity. Outside work he balances technical leadership with mentoring and public engagement—he’s been an industry advisor, meetup organiser and is a proud father of three.
12 years of coding experience
23 years of employment as a software developer
Bachelor of Artificial Intelligence, Bachelor of Artificial Intelligence at Utrecht UniversityBachelor's degree in Computer Science - Undergraduate Computer Science, Bachelor's degree in Computer Science - Undergraduate Computer Science at Universidade de Fortaleza
Portuguese, English, Dutch, French
Stackoverflow
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Github Skills (15)
neural-network10
javas10
keras10
machine-learning10
debug10
activation-function10
deep-learning10
tensorflow10
apache-cloudstack10
python10
java10
data-science9
back-end-development9
unit-testing8
documentation7
Programming languages (11)
Github contributions (5)
apache/cloudstack
Apr 2014 - Feb 2016
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:160 commits, 84 PRs, 685 comments in 1 year 10 months
Contributions summary:Hugo Trippaers's contributions primarily focus on fixing bugs and implementing enhancements in the Apache CloudStack project. His commits involve addressing FindBugs findings to correct potential issues with method calls and correcting errors in existing code and adding comments to changes. The changes are related to various modules and plugins used by the project.
pythonapache-cloudstackxcp-nghostingcloud-computing
keras-team/keras-contrib
Mar 2018 - Jun 2018
Keras community contributions
Role in this project:ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:10 commits, 6 PRs, 39 comments in 3 months
Contributions summary:Wilder primarily contributed to the `keras-contrib` repository by implementing and improving an advanced activation function called SineReLU. Their work included adding the SineReLU activation layer, writing unit tests, adding documentation and examples, and incorporating performance metrics for MNIST and IMDB datasets. Furthermore, they addressed code style issues and corrected typos, demonstrating a commitment to code quality and maintainability.
pythondata-sciencedeep-learningtheanoneural-networks
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