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Hello,

I'm
Atul
M. Bharadwaj

A first year Masters student at
New York University,
Tandon School of Engineering
Brooklyn, NY

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About Me

I'm a first year Masters student majoring in Computer Science interested in Machine Learning, Deep Learning, Visualisation and Software development. Avid graphic designer. I find applying Machine Learning and data science to fields like Image and Sound processing highly interesting.

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Work & Education

April 2021 - June 2021

Qualitas Technologies Pvt. Ltd., Bengaluru, India

Machine Learning Intern
  • Developed a QtLibrary in C++ for dominant color detection and filtering for automobile parts.
  • Developed an algorithm for automatic triggering and capturing of images from high-speed video feed for quality assessment in assembly lines.

    • May 2020 - July 2020

    e-Yantra, Indian Institute of Technology, Bombay

    Research Intern
    Audio processing with Machine Learning
  • Worked on a module for filters in Signal Processing
  • Implemented a Neural Network for identifying common noise in the UrbanSounds 8k dataset
  • Developed a novel method to determine starting and ending timestamps of audio intros for a series of videos like webseries using audio fingerprinting
  • Developed a tool to generate webpages that contain videos and click-able transcriptions
  • Developed a locally hosted voice assistant called 'VAANI' that can perform basic functions

    • September 2021 - Present (Expected May 2023)

    New York University, Tandon School of Engineering, Brooklyn, New York

    Masters in Computer Science
  • Relevant Coursework: Artificial Intelligence, Operating Systems, Information/Data Visualisation
  • Part of the Graphics design subcommittee at Graduate Indian Student Assosciation

    • July 2017 - Present

    SJB Institute of Technology, Bengaluru, India

    Bachelor of Engineering (B.E.) in Computer Science and Engineering, Visvesvaraya Technological University
  • Balanced projects and academics effectively with a CGPA of 8.79
  • Consistently part of the department toppers' list
  • Active participation in organizing department's events

    • July 2003 - June 2017

    Venkat International Public School

    Class 1 - 12
  • Studied Science (Physics, Math, Chemistry, Computers) in 12th and scored 92%
  • Scored a 9.4 CGPA in class 10
  • Have been an active part of the graphics designing team since school

    • Capabilities

    Here are some of my skills.

    Deep Learning and Machine Learning

  • Convolutional Neural Networks for Image classification
  • Deep Neural Networks for Sound Classification, Speech recognition systems
  • Traditional machine learning techniques like K-NN, linear regression, decision trees

    • Image Classification

  • Classifying numbers from MNIST, objects from ImageNet using standard and non-standard models
  • OCR from images containing English text and numbers
  • Object detection and distance calculation using image processing like bounding boxes, erosion, blur using OpenCV

    • Audio Processing

  • Audio (Noise) classification using Neural Networks
  • Instrument recognition from polyphonic music
  • Speech recognition and Audio Transcription using Standard DNN models

    • Database Management Systems and Data Analytics

  • SQL databases with mySQL, JDBC/ODBC connectivity
  • Data visualisation using Python
  • Data cleaning and processing using Pandas and NumPy

    • Selected Works

    Here is some of my recent work.

    Assistive Chatbot for Visually Impaired

    Final Year Capstone Project

    Web based chatbot for blind and visually impaired that can navigate them while maintaining social distancing with a real time obstacle avoidance and mask detection system

    Data Visualizer

    Web lab mini project

    Website that can be used to visualize live data using different kinds of plots. Can also generate general statistics of numerical data.

    Traffic Database Management System

    DBMS Laboratory mini project

    Website with dashboard that can be used to record traffic violators and notify them via e-mail. Also provides statistics by Area, vehicle number, type of violation, license number. Done using HTML, CSS, PHP

    Certifications

    Here are some of my certificates.

    Neural Network and Deep Learning

    deeplearning.ai, Coursera
    December 2019

    Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

    deeplearning.ai, Coursera
    January 2020

    Introduction to Machine Learning

    NPTEL, Indian Institute of Technology, Kharagpur
    September 2019

    Introduction to Cybersecurity

    CISCO Networking Academy
    June 2020

    Honors and Publications

    Here are some of my achievements and publications.

    First place

    Winner of the 'Rapid Rescuer' theme of the e-Yantra National Robotics Competition 2020 hosted by the Indian Institute of Technology, Bombay

    Maze solving robot capable of avoiding dynamic obstacles, replanning path mid traversal, recognizing digits from image and line following

    Kannada ImageNet: A Dataset for Image Classification in Kannada

    Accepted at IEEE sponsored International Conference on Computer Communication and Informatics,Coimbatore, 2021

    A dataset that contains more than 400,000 images translated to Kannada taken from ImageNet. Can be used for furthering Image Classification research in Kannada.

    Get In Touch

    atulmb99@gmail.com

    I'm happy to connect, listen and help. Let's work together and build something awesome. Let's turn your idea to an even greater product. Email Me.

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