Kevin K.

Kevin K.

Machine Learning Engineer

Brazil
Trusted member since 2022
6 years of experience

Kevin possesses proficiency in four languages, including Portuguese (Brazil), English, Spanish, and French. He has a solid research foundation and expertise in areas like Machine Learning on graphs, time series analysis, NLP, and computer vision.

Kevin is looking for new challenges that allow him to tackle engaging real-world problems. His technical toolkit includes Python, C/C++, C#, SQL, and various frameworks and platforms, such as PyTorch, Keras, TensorFlow, PySpark, Ray, AWS, and Azure. Kevin is well-equipped to contribute effectively in diverse technical domains.

Main expertise

PythonPython5 years
Data Science4 years
Machine LearningMachine Learning4 years
Apache SparkApache Spark2 years
14+

Experience6

Johnson & Johnson

Machine Learning Engineer

Johnson & Johnson
Healthcare
Jul 2021 · 4y 8m
  • Worked on information extraction from labels and text similarity matching to product catalogues for an automated inventory control system, assuring over 95% matching accuracy.
  • Worked on key point detection models to allow for automated image capture.
  • Worked on object detection models, error analysis, and inference optimization for production line inspection.
  • Improved the accuracy of the ETA prediction system. Employed geometric projection on the estimated route to correct the sensor data, assuring results inside a 5% confidence range.
  • Worked with GPU Optimization with NVIDIA TensorRT.
  • Built scalable data processing pipelines with Scala and Spark.
ScalaScala
Data Science
TensorFlowTensorFlow
OpenCVOpenCV
KerasKeras
4+
Melanion Capital

Intern

Melanion Capital
Investment and Wealth Management
Jan 2021 - Jun 2021 · 5m
  • Developed a capital allocation optimization software for volatility strategies.
Data Science
Machine LearningMachine Learning
Veggly

Intern

Veggly
Information Technology (IT) and Services
Mar 2020 - May 2020 · 2m
  • Optimized marketing investments for different countries, based on user metrics and past campaign efficiency.
Data Science
Data Analytics

Intern

XP Investments
Banking and Finance
Jul 2019 - Aug 2019 · 1m
  • Developed a capital allocation optimization software for private pension portfolios under regulatory constraints.
Imperial College London

Research Intern

Imperial College London
Jan 2019 - Feb 2019 · 1m

  • Complex Dynamics Reconstruction: Analyzed data from complex networks (e.g., the human brain) and worked on network dynamics reconstruction through sparse recovery techniques.

  • Critical Transitions in Dynamical Systems: Researched the behavior of Lyapunov exponent as a predictor of critical changes in dynamical regime.

Data Science
Scikit-learnScikit-learn
Machine LearningMachine Learning

Undergraduate Researcher

University of Sao Paulo
Aug 2018 - Aug 2020 · 2y

  • Complex Dynamics Reconstruction: Analyzed data from complex networks (e.g., the human brain) and worked on network dynamics reconstruction through sparse recovery techniques.

  • Critical Transitions in Dynamical Systems: Researched the behavior of Lyapunov exponent as a predictor of critical changes in dynamical regime.

  • Optimized Intervention against COVID-19: Worked in a computational model for the spread of diseases by the general social dynamics of any community.

  • Research intern in the Department of Mathematics at Imperial College London.

Data Science
PyTorchPyTorch
Scikit-learnScikit-learn
Machine LearningMachine Learning

Education

Institut Polytechnique de Paris
Institut Polytechnique de Paris
Statistics2021 - 2022
Institut Polytechnique de Paris
Institut Polytechnique de Paris
Engineering2020 - 2022
UOS
University of Sao Paulo
Computer Engineering2017 - 2020

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