Henrique Mendonça, Developer in Lugano, Switzerland
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Henrique Mendonça

Verified Expert  in Engineering

Machine Learning Developer

Lugano, Switzerland

Toptal member since February 10, 2020

Expertise
Machine LearningDeep LearningC++PythonPyTorchJavaScriptTensorFlowCUDAMicroservices DevelopmentMicrosoft DevelopmentUML
Bio

Henrique brings over ten years of experience in the design and development of systems from high-performance distributed applications to Computer Vision, machine learning, and real-time embedded systems. He has contributed to open-source frameworks such as Apache and is a member of Apache's project management committee for the Thrift library.

Portfolio

CSCS Swiss National Supercomputing Center
Pandas, PyTorch, Scikit-learn, Deep Learning, TensorFlow, Keras, NVIDIA CUDA...
Self-employed
Data Science, Pandas, Scikit-learn, Deep Learning, SciPy, XGBoost...
Optiver Asia Pacific
Data Science, Pandas, Scikit-learn, Object-oriented Programming (OOP)...

Experience

  • C++ - 8 years
  • Python - 7 years
  • Machine Learning - 6 years
  • Data Science - 5 years
  • Deep Learning - 5 years
  • PyTorch - 3 years
  • TensorFlow - 2 years
  • NVIDIA CUDA - 1 year

Availability

Part-time

Preferred Environment

SciPy, Pandas, TensorFlow, PyTorch

The most amazing...

...project I've developed was a novel model for 3D segmentation of lung cancer nodules, which achieved state-of-the-art accuracy.

Work Experience

Computational Scientist - HPC/ML Specialist

2020 - PRESENT
CSCS Swiss National Supercomputing Center
  • Taught and mentored researchers in distributed machine learning.
  • Monitored HPC usage with machine learning and a data-driven approach.
  • Reviewed and supported scientific applications in a supercomputing environment.
Technologies: Pandas, PyTorch, Scikit-learn, Deep Learning, TensorFlow, Keras, NVIDIA CUDA, SciPy, Object-oriented Programming (OOP), Unit Testing, Convolutional Neural Networks (CNNs), Data Science, Machine Learning, C++, Python

R&D Consultant and Machine Learning Engineer

2015 - PRESENT
Self-employed
  • Scoped, modeled, and deployed a state-of-the-art 3D segmentation and classification web application for medical imaging (volumetric lung CT scans).
  • Designed the whole architecture, modeling, and processing pipeline to implement and deploy crowd games to the screens of a football stadium during the breaks.
  • Enabled football fans to control games in the stadium screens in real-time through installed 4k cameras using Computer Vision, signal processing, and machine learning.
  • Modeled movie recommendations for a streaming company. Fixed and cleaned up a large portion of their logging and data pipeline.
Technologies: Data Science, Pandas, Scikit-learn, Deep Learning, SciPy, XGBoost, Object-oriented Programming (OOP), Unit Testing, Convolutional Neural Networks (CNNs), Machine Learning, NVIDIA CUDA, C++, Keras, TensorFlow, PyTorch, Python

Senior Software Engineer

2015 - 2017
Optiver Asia Pacific
  • Created TDD high-frequency trading with extremely low latency (ns - µs).
  • Updated an entire exchange-facing platform.
  • Designed and built their fastest and best-tested execution platform to date.
Technologies: Data Science, Pandas, Scikit-learn, Object-oriented Programming (OOP), Unit Testing, Microsoft HPC, Microservices, Python, C++

Senior Software Engineer

2007 - 2014
Siemens BT
  • Designed and implemented several web services for high-end, real-time, field-bus embedded devices.
  • Oversaw quality assurance to ensure it met industry standards through high coverage of automated testing at all levels: Unit tests, regression, system, and integration tests.
  • Contributed to open-source frameworks like Apache. I was accepted as a member of Apache's Project Management Committee for the Thrift library.
  • Managed low-level hardware and kernel integration working directly on modules of the Linux kernel.
Technologies: Object-oriented Programming (OOP), Unit Testing, UML, Python, JavaScript, C++

Experience

3D Medical Imaging Segmentation

Scoped, modeled, and deployed a new 3D deep neural network for volumetric segmentation and classification of lung CT scans. I created a web user interface for clients and medical staff to upload their scans and inspect the resulting masks with a JavaScript visualization library; 3D Medical Imaging Segmentation.

Education

2012 - 2014

Master's Degree in Computer Science

University of Zurich - Zurich, Switzerland

Skills

Libraries/APIs

PyTorch, Pandas, Scikit-learn, XGBoost, SciPy, TensorFlow, Keras, Microsoft HPC

Languages

Python, C++, JavaScript, UML

Paradigms

Unit Testing, Object-oriented Programming (OOP), Microservices

Platforms

NVIDIA CUDA

Other

Machine Learning, Data Science, Deep Learning, Convolutional Neural Networks (CNNs), OOP Designs

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