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.
CGPA:8.53/10
HSC: 93%
SSC: 10/10 CGPA
Tools:Zapier-webhook,Bash,relative-url-extractor
A automation tool for monitoring changes in javascript files on target domains for reconnaissance purposes.
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%
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.
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.
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.
Tools:Java,Swing,Minimax,OOP,AWT
Implementation of Chess Game using concepts of OOP and Efficient Design Styles of Java.
Tools:CPP,STL,OOP
Assembler for 20-bit SIC/XE relocatable programs with Symbol Defining Statements implemented with Object Oriented Design in C++.
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 .
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 .