Machine Learning Engineer Resume Example

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(555) 432-1000,
Montgomery Street, San Francisco, CA 94105
Professional Summary

A machine learning engineer passionate about cutting-edge technology and solving real-world problems, with previous experience in finance managing risk, leading a lean team and developing new products.

  • Proficient in machine learning and deep learning skills for multiple applications including Computer Vision, Recommendation Systems and Natural Language Processing
  • Strong coding ability both in producing clean and efficient code as well as debugging and understanding large code bases
  • Experienced use of modern source control (Git)
  • Python, NumPy, SciPy, Scikit-learn, Pandas, OpenCV 
  • TensorFlow, Keras, PyTorch 
  • C++
  • Matlab 
  • Native Portuguese speaker and fluent in English
Universidade de São Paulo São Paulo, SP - Brazil Expected in 2007 Bachelor of Science : Civil Engineering - GPA :
  • Lane Finding and Vehicle Detection and Tracking - Built an advanced lane-finding algorithm with Python and OpenCV using distortion correction, image rectification, color transforms, and gradient thresholding. Enhanced the pipeline with Keras using a state-of-the-art deep learning architecture that is both extremely accurate and lean. Optimized the model overcoming environmental challenges such as shadows and pavement changes on video data from a automotive camera taken during highway driving. (
  • Kaggle: The Nature Conservancy Fisheries Monitoring (Top 12%) - Designed an ensemble of three different models, that leveraged from transfer learning using award winning architectures for computer vision (VGG, GoogLeNet Inception and ResNet) , to successfully identify fishes in images captured from fishing boats.
  • Open Source MS in Computer Science - Curated a series of online courses from world renowned institutions to gain knowledge in machine​ learning and artificial intelligence that allowed me to build the skills I needed to change careers without the full-time commitment of a conventional degree. Relevant coursework includes: Statistics, Design of Algorithms, Intro to Artificial Intelligence, Machine Learning, Convolutional Neural Networks for Visual Recognition and Practical Deep Learning.
Work History
Viasat Inc. - Machine Learning Engineer
DC, State, 03/2017 - Current
  • Responsible for designing and maintaining a food recommendation system that uses both content-based and collaborative-filtering approaches; 
  • Designed and implemented a graph database using Neo4j, allowing for sophisticated real-time product recommendations with a significantly smaller code base;
  • Created a synthetic dataset to assist in model development and evaluation during pre-launch of the start-up without data acquisition costs

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School Attended
  • Universidade de São Paulo
Job Titles Held:
  • Machine Learning Engineer
  • Bachelor of Science

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