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Kevin K.
Machine Learning Engineer
Kevin is a highly skilled professional with over four years of experience. His academic background includes two Bachelor's Degrees in Engineering, complemented by a Master's Degree in Statistics.
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
- Python 5 years
- Data Science 4 years
- Machine Learning 4 years
Other skills
- C# 3 years
- Neo4j 2 years
- Apache Airflow 2 years
Selected experience
Employment
Machine Learning Engineer
Johnson & Johnson - 3 years 8 months
- 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.
Technologies:
- Technologies:
Python
- Data Science
Machine Learning
Apache Spark
- PyTorch
TensorFlow
Git
AWS
SQL
- Computer Vision
- NLP
Intern
Melanion Capital - 5 months
- Developed a capital allocation optimization software for volatility strategies.
Technologies:
- Technologies:
- Data Science
-
Machine Learning
C#
Intern
Veggly - 2 months
- Optimized marketing investments for different countries, based on user metrics and past campaign efficiency.
Technologies:
- Technologies:
- Data Science
Education
MSc.Statistics
Institut Polytechnique de Paris · 2021 - 2022
BSc.Engineering
Institut Polytechnique de Paris · 2020 - 2022
BSc.Computer Engineering
University of Sao Paulo · 2017 - 2020
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