Peer to Peer Replicated and Fault Toleratant File System
Developed with Python sockets, and an algorithm was developed to replicate the file over nodes in the system to provide a failure resilient architecture
Events that shaped my career to date.
Machine Learning Intern at NXP Semiconductors
Graduate Assistant for CMSC 676 : Information Retrieval
Research Assistant for AI-SSGL Lab at UMBC researching on Fake News Detection. Profile at: https://ai-ssgl.umbc.edu/ambrose-tuscano/
Graduate Assistant for CMSC 455 : Numerical Computations
Vice Chair For UMBC ACM Team
Completed Masters in Computer Science from University of Maryland, Baltimore County
Graduated with a Bachelor of Engineering in Computer Science from University of Mumbai
Developed with Python sockets, and an algorithm was developed to replicate the file over nodes in the system to provide a failure resilient architecture
Developed CNN layers from scratch to create a Deep Learning model to recognize guestures
Developed CNN layers from scratch to create a Deep Learning model to recognize guestures with accuracy of 76%
Created Flask Api which used content based and collaborative methods to recommend users TV series, on a Android app with 86% accuracy.
Analyzed news sources using BERT and other sentimental Analysis techniques to see how hate based news were used by fake sources to try and manipulate the 2020 US Election.
Created a Heroku based service to detect Retinopathy by means of using Resnet, with an accuracy of 89% and used ResUNet to localize the detection.