Nigel Fernandez
Senior Research Engineer at Bloomberg
United States
Summary
👤
Senior🎓
Top SchoolNigel Fernandez is a CS PhD student and research assistant at UMass Amherst with nine years of experience applying NLP, program synthesis, and ML for education across academia and industry. His work bridges theory and practice, from program synthesis internships at IBM and research fellowships at Max Planck to applied NLP residencies at NAVER and Adobe. Nigel has repeatedly focused on educational AI and program synthesis, contributing to projects that translate research prototypes into real-world assessment and tutoring tools. He also brings hands-on systems experience dating back to a GSoC project extending YOLO with depth inputs and a Microsoft-funded cryptology internship on blockchain de-anonymization. Comfortable in both research and engineering roles, he blends rigorous academic training with pragmatic implementation skills. Based in the United States, he continues to publish and mentor while pursuing his PhD.
9 years of coding experience
5 years of employment as a software developer
Bachelors and Masters Information Technology, Bachelors and Masters Information Technology at International Institute of Information Technology BangalorePhD Computer Science, PhD Computer Science at University of Massachusetts Amherst
English, Hindi, German
Github Skills (44)
attention-mechanism10
wordnet9
keras9
nlp8
convolution8
web-mining8
sentiment-analysis8
natural-language-processing8
question-answering8
self-attention8
machine-learning8
text-classification8
convolutional-neural-networks8
network-analysis7
artificial-intelligence7
Programming languages (5)
Github contributions (5)
ni9elf/3HAN
Jul 2017 - Jun 2018
Official code for "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Contributions:20 commits, 18 pushes, 2 branches in 11 months
neural-networkkerasattention-mechanismfake-news-detectionmachine-learning
ni9elf/QANet
Jun 2018 - Jun 2018
A TensorFlow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
Contributions:26 commits, 24 pushes, 1 comment in 1 day
convolutionself-attentiontensorflownlpquestion-answering
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