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.
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.
07/2016 - 01/2018, Machine Learning Developer, PNC Financial Services Group, Pittsburgh, PA
- 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.
09/2012 - 06/2016, Bachelor of Science in Mathematics and Computer Science, Carnegie Mellon University, Pittsburgh, PA
Dual Major; Minor in Women's Studies
- English
- Spanish
- Mandarin
- Telugu
- Italian
- Machine Learning Concepts
- Algorithm Design
- Deep Learning
- Artificial Intelligence
- Natural Language Processing
- Probabilistic Modeling
- Neural Networks
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