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Shoeb Patel

Hacker

Github Profile

About Me

Experienced Security Analyst and Engineer with a demonstrated history of working in the Web, Infrastructure and network security industry who thinks that technology is alchemy which really impacts ways of living life and thus it must be secured. Skilled in Javascript, NodeJs, Python, C++, Spring Framework, Data Structure and Algorithms, and Java. Strong Secure Infrastructure development professional with a Bachelor of Technology (B.Tech.) focused in Computer Science and Engineering from National Institute of Technology Goa.

Skills

Experience

Flipkart

Security Analyst

BrowserStack

Security Engineer

Google

Mentor (Summer of Code 2019)

Google

Student Developer, OWASP Foundation (Summer of Code 2018)

PeritusInfosec

Security Intern

Education

National Institute of Technology, Goa

July 2015 - May 2019

Bachelor of Technology in Computer Science and Engineering

CGPA:8.53/10

JNV Washim

Teenage

Computer Science and Fun

HSC: 93%
SSC: 10/10 CGPA

Projects

DiffJs

Tools:Zapier-webhook,Bash,relative-url-extractor

A automation tool for monitoring changes in javascript files on target domains for reconnaissance purposes.

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Neural-SongClassifier

Tools:Tensorflow,Tflearn,Numpy,Pickle,Sox

Deep Convolutional Neural Network trained on Spectrograms of monaural versions of songs for genre based classification. Accuracy: 99.5%

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Competitive Programming LeaderBoard

Tools:NodeJS,Express,MongoDB,JQuery,Bootstrap

Users​ ​ can​ ​ Compute​ ​ overall​ ​ percentile​ ​ of​ ​ themselves​ ​ in​ ​ Competitive programming​ ​ community​ ​ according​ ​ to​ ​ their​ ​ prowess​ ​ on Codeforces,Codechef,Topcoder,Hackerrank,Hackerearth​ ​ combined.

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PingPong Multiplayer

Tools:C,SDL,Sockets,UDP

A 2D PingPong multiplayer game implemented over Custom Game Protocol tunneled over UDP for playing over local network. Server-Client written in C sockets and Game written using SDL.

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Convolutional Neural Network for Digit recoginition

Tools:python,keras,numpy,pandas

Modeled a Standard Convolutional neural network for classification of images of handwritten digits in keras module of python which gave 96% accuracy on MNIST handwritten digits images data.

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ChessFreak

Tools:Java,Swing,Minimax,OOP,AWT

Implementation of Chess Game using concepts of OOP and Efficient Design Styles of Java.

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Assembler for SIC-XE

Tools:CPP,STL,OOP

Assembler for 20-bit SIC/XE relocatable programs with Symbol Defining Statements implemented with Object Oriented Design in C++.

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Genetic Algorithm for GameBots

Tools:python,numpy

Implemented a GameBot in python that learns to play "Flappy Bird" using Artificial Neural Network implemented from scratch in numpy. The training and optimization is done by standard genetic algorithm. Implementation of Game Environment was done using Pygame .

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Titanic : Prediction using machine learning

Tools:python,scikit-learn

Implemented regression for predicting survival probability of passenger on sinking Titanic on the basis of certain features in the given data available at https://www.kaggle.com/c/titanic/data .

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Certifications & MOOCs

Udemy

Learn and Understand NodeJS

Coursera.org

Neural Networks for Machine Learning

DataCamp.com

Intro to Python for Data Science (edX 6.2) Course

Coursera.org

Introduction to Machine Learning

Udacity

Android App Developement

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