John Conway
Associate (Data Strategy, Architecture, and Governance) at EquiLend, and Master's student at the Georgia Institute of Technology.
Associate (Data Strategy, Architecture, and Governance) at EquiLend, and Master's student at the Georgia Institute of Technology.
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Designed and tested several distributed deep reinforcement learning algorithms such as PPO, DDPG, DQN and A3C for various use-cases including line-haul optimization and pairs trading.
Worked on several NLP use-cases including text summarization, text classification, document clustering, and sentiment analysis using various frameworks such as AllenNLP, Gensim, NLTK, and PyTorch.
Explored several approaches for abstract text summarization including Bert and GPT-2 Transformer transfer learning and bi-directional LSTM encoder-decoder architectures with attention.
Coordinated between clients, contractors, and technicians to ensure quality service and timely completion of projects.
Designed fire protection system models for optimized hydraulic performance and efficient installation cost.
Graduate-level coursework from Columbia University, including Artificial Intelligence (AI), Machine Learning, Robotics, and Animation and CGI Motion.
Deep Feed-forward, Convolutional, and Reccurent Neural Networks, and their various usecases, including unsupervised (auto-encoders), supervised (Dog/Cat classifier), and reinforcement learning (Unity QuadCopter).
Nanodegree program covering both front-end (javascript, knockout, ReactJS) and back-end (Python, Flask, Django) web development, as well as deployment projects using AWS Lightsail.
Currently, I am pursuing a Master's degree in Computer Science at the Georgia Institute of Technology, with a specialization in Machine Learning. In particular, I am most interested in Deep Learning and Reinforcement Learning.
I was a Division 1 Competitive Swimmer at UMass, and competed within the A10 conference champtionships. I like to maintain an active lifestyle involving swimming, running, bike riding, and scuba diving!