Pinned Repositories
BayesianInference
crud_app
cryptobot
Low Latency C++ Crypto Bot to execute trade based on capturing Alpha in high frequency trading.
Customer-Segmentation-Models
Final Project for CS534: Machine Learning
portfolio
Portfolio Site
PTSym-eingensolver
QWalks-Software
StockTwits
Utilizes PyTorch to implement Deep Learning models for classification of sentiments of messages between investors and Traders. Model classified sentiments with 98% accuracy to generate a signal of the public sentiment for various ticker symbols.
VideoProcessor
Developed a system using C++ that could process and analyze video streams in real-time by distributing the workload across multiple machines. The system was designed to handle a high throughput of video data and was optimized for low latency by using advanced parallel processing techniques and network protocols.
rshar95's Repositories
rshar95/QWalks-Software
rshar95/cryptobot
Low Latency C++ Crypto Bot to execute trade based on capturing Alpha in high frequency trading.
rshar95/BayesianInference
rshar95/crud_app
rshar95/Customer-Segmentation-Models
Final Project for CS534: Machine Learning
rshar95/portfolio
Portfolio Site
rshar95/PTSym-eingensolver
rshar95/StockTwits
Utilizes PyTorch to implement Deep Learning models for classification of sentiments of messages between investors and Traders. Model classified sentiments with 98% accuracy to generate a signal of the public sentiment for various ticker symbols.
rshar95/VideoProcessor
Developed a system using C++ that could process and analyze video streams in real-time by distributing the workload across multiple machines. The system was designed to handle a high throughput of video data and was optimized for low latency by using advanced parallel processing techniques and network protocols.