Experienced machine learning engineer with expertise in algorithm design, statistical analysis, and deep learning. Adept at collaborating with teams on large and complex projects to deliver innovative, data-intensive solutions that improve software and platform performance. Proficient in TensorFlow, C++, Python, and PyTorch.
Work Experience
01/2018 - present, Machine Learning Engineer, Aurora, Pittsburgh, PA
Design scalable machine learning algorithms to enable self-driving software to identify safe and efficient routes.
Created image processing algorithms and toolkits to enable systems to quickly analyze data from multiple sources.
Played a key role in development of next-generation software, transforming concepts into early-stage prototypes.
Lauded for proactively identifying risks and partnering with colleagues to devise effective solutions.
Built statistical models using Bayesian inference and other ML methods to analyze trading data and predict market trends.
Leveraged knowledge of TensorFlow, Scikit-learn, and Keras to develop neural network models based on deep learning and data mining technologies.
Delivered presentations to senior executives and stakeholders on strategies to improve profitability and reduce risks using ML, AI, and natural language processing.
Education
09/2012 - 06/2016, Bachelor of Science in Mathematics and Computer Science, Carnegie Mellon University, Pittsburgh, PA
Dual Major; Minor in Women's Studies
Languages
English
Spanish
Mandarin
Telugu
Italian
Skills
Machine Learning Concepts
Algorithm Design
Deep Learning
Artificial Intelligence
Natural Language Processing
Probabilistic Modeling
Neural Networks
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