Interests .
While my primary focus is Computer Science, I believe in a multidisciplinary approach to innovation. I spend a significant amount of time exploring Quantum Computing, Robotics, and Philosophy.
Key Areas
- Deep Reinforcement Learning
- Quantum Machine Learning
- Autonomous Navigation
- High Performance Computing
Books Read
Book
Refactoring: Improving the Design of Existing Code
By Martin Fowler
Software Engineering Best Practices
Book
Accelerate: The Science of Lean Software and DevOps
By Nicole Forsgren, et al.
DevOps Management Research
Book
Introduction to Algorithms (CLRS)
By Cormen, Leiserson, Rivest, Stein
Algorithms Computer Science Textbook
Papers Read
2019 Paper
BERT: Pre-training of Deep Bidirectional Transformers
Authors: Devlin et al.
NAACL NLP BERT
2012 Paper
ImageNet Classification with Deep Convolutional Neural Networks
Authors: Krizhevsky, Sutskever, Hinton
NIPS Computer Vision CNN ImageNet
2015 Paper
Adam: A Method for Stochastic Optimization
Authors: Kingma, Ba
ICLR Optimization Deep Learning
2014 Paper
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Authors: Srivastava et al.
JMLR Regularization Deep Learning
2015 Paper
Very Deep Convolutional Networks for Large-Scale Image Recognition
Authors: Simonyan, Zisserman
ICLR Computer Vision CNN
2015 Paper
Batch Normalization: Accelerating Deep Network Training
Authors: Ioffe, Szegedy
ICML Deep Learning Optimization
2014 Paper
Sequence to Sequence Learning with Neural Networks
Authors: Sutskever et al.
NIPS NLP Machine Translation LSTM
2016 Paper
Mastering the Game of Go with Deep Neural Networks and Tree Search
Authors: Silver et al.
Nature Reinforcement Learning Game AI
2013 Paper
Efficient Estimation of Word Representations in Vector Space
Authors: Mikolov et al.
ICLR NLP Embeddings
2017 Paper
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
Authors: Howard et al.
arXiv Computer Vision Mobile Efficiency
2019 Paper
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Authors: Tan, Le
ICML Computer Vision Neural Architecture