Mountain View, California, United States
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About

Software Engineer with interest and experience in designing and building backend…

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Experience & Education

  • Google

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Courses

  • Analysis and Design of Algorithms

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  • Artificial Intelligence

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  • Computer Architecture

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  • Computer Graphics

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  • Computer Networks

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  • Computer Vision

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  • Cryptology

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  • Data Structures and Algorithms

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  • Digital Image Analysis

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  • Discrete Mathematics

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  • Introduction to Computing

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  • Introduction to Database Systems

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  • Introduction to Probability and Stochastic Process

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  • Logic and Computability

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  • Machine Learning

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  • Operating Systems

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  • Programming Paradigm

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  • Real Analysis

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Projects

  • Fidel : An online marketplace to sell or buy items within friend circle

    Designed and implemented an online marketplace using Django python framework for selling or buying second hand items within your friend circle.

    See project

  • Handwritten Digit Recognition

    Used Multi Layer Perceptron for training a model for classification of handwritten digits.

  • Early Breast Cancer Detection by Classifying Mammograms into benign and maligant using standard SVM classifiers

    Breast cancer is the leading cause of deaths among female cancer patients. Mammography is known to be the most effective technique for breast cancer screening and detection of abnormalities. The most common abnormalities that may indicate breast cancer are masses and calcifications. In some cases, subtle signs are present that can also lead to a breast cancer diagnosis, such as architectural distortion and bilateral asymmetry. Early detection of breast cancer is dependent on
    a lot of…

    Breast cancer is the leading cause of deaths among female cancer patients. Mammography is known to be the most effective technique for breast cancer screening and detection of abnormalities. The most common abnormalities that may indicate breast cancer are masses and calcifications. In some cases, subtle signs are present that can also lead to a breast cancer diagnosis, such as architectural distortion and bilateral asymmetry. Early detection of breast cancer is dependent on
    a lot of factors, which includes the quality of mammograms and ability of radiologist to read the mammograms. Several Computer-aided Detection (CAD) systems are designed to help radiologist provide an accurate diagnosis. This project is an attempt to improve the performace of these algorithms. An algorithm is developed to find regions of interest (ROIs) corresponding to masses in digitized mammograms and to classify the masses as benign or malignant. The algorithm is
    divided into a pipeline of steps. The Focus of Attention (FOA) module helps in highlighting suspicious regions. The index module helps in reducing number of false positives by performing some tests. Feature Extraction module extracts information from each ROI, which forms it’s descriptor. These features are used to classify the ROIs into malignant or benign. This system has an overall accuracy of 71.79% when ROIs are selected using FOA and indexing module and 80.36%
    when ROIs are obtained from the groundtruth information available with the dataset.

    Other creators

  • Object Classification using Bag of Words Model in Computer Vision

    Implemented a classifier that would label a moving object as human, car or bike in a given traffic video. The project consisted of following parts-
    * Training the SVM using SIFT descriptors of the training images.
    * Detecting a moving object using Gaussian Mixture model.
    * Classifying the detected object using the trained SVM.

    Other creators

  • Othello

    Implemented the popular game Othello and used minimax algorithm and alpha-beta pruning for selecting the best move in a given state of game.

  • Dave 3D with Rube-Golberg animation

    Implemented a short 3-D version of the classical game Dave using opengl. The game also had an
    animation of self designed Rube-Goldberg machine in the end.

    Other creators
    See project

  • MyShell

    Implemented a shell in C with following functionalities:
    1) The shell could run all the basic commands like ls, date ,hostname etc.
    2) It could run all multiple argument commands like ls -l, gcc -o test test.c , ls Desktop etc.
    3) It could redirect the output of any command by using > sign followed by the file name.
    4) It could detect the errors made by user in entering the command.

  • Interactive activities demonstrating the concept of work in physics

    Contributed to Ekshiksha portal of IIT Bombay by making interactive physics activities demonstrating the concept of work in physics. The activities were programmed in Actionscript 3.0 and used Flex SDK.

    Other creators
    See project

  • Computer Architecture Simulator

    Designed an architecture simulator which takes trace file of any program as input and simulates the
    branch predictor, inorder pipeline and cache. The simulator produces IPC, L1 local miss rate, L2 local
    miss rate and branch prediction accuracy as output.

    See project

Honors & Awards

  • 2nd Prize in IndiaHacks Machine Learning 2016

    Hackerearth

    Won 2nd Prize in yearly Mahine Learning Competition organized by Hackerearth

    Leaderboard: https://www.hackerearth.com/machine-learning-india-hacks-2016/hof/

Languages

  • English

    Professional working proficiency

  • Hindi

    Native or bilingual proficiency

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