Chiraag .

Chiraag .

Seattle, Washington, United States
2K followers 500+ connections

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Experience

  • Amazon Graphic

    Amazon

    Seattle, Washington, United States

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    Seattle, Washington, United States

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    Santa Clara, California, United States

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    Greater Boston Area

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Greater Pittsburgh Area

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    Bengaluru Area, India

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    Bengaluru Area, India

Education

  • University of Southern California Graphic

    University of Southern California

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    Relevant Courses: -
    Analysis of Algorithms
    Foundations of Artificial Intelligence
    Information Retrieval and Web Search Engines
    Operating Systems
    Database Systems
    Machine Learning
    AI in Society

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Publications

Projects

  • CSCI 402 Operating Systems Course Project

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    Developed kernel-level programs in C for demonstrating Operating Systems concepts like multithreading, processes, virtual file system and virtual memory.

    Achieved 100% code coverage

  • Generation of Music using Recurrent Neural Networks

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    BE Final Year Project

    Demonstrated the capability of machine learning models to generate multimedia like music.

    Training ABC notation notes of piano music using Recurrent Neural Networks to generate sequences of music notes for a given short input sequence.

    Converted ABC music notes into music using MIDI tools.

    Trained Indian classical music using Long Short-Term Memory neural networks by extracting features in frequency-domain.

    Create separate models for…

    BE Final Year Project

    Demonstrated the capability of machine learning models to generate multimedia like music.

    Training ABC notation notes of piano music using Recurrent Neural Networks to generate sequences of music notes for a given short input sequence.

    Converted ABC music notes into music using MIDI tools.

    Trained Indian classical music using Long Short-Term Memory neural networks by extracting features in frequency-domain.

    Create separate models for songs in different Ragas

    Generated Indian classical music for the provided sequence in for a given input sequence in the same Raga as the input.

    Technologies used: Python, Keras, Numpy, Scikit, CUDA, MIDI tools

  • Question Answering System

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    Built question answering system with different approaches: -
    1. Traditional ML models like SVMs
    2. Neural network models like LSTMs with word embedding layer - that answer basic questions taken from Facebook's bAbI dataset.

    Technologies: Python, Keras

  • Tweet Sentiment Analysis

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    NLP Course Project

    Built a sentiment classifier using bidirectional RNNs to classify tweets associated with the demonetization crisis of India to various sentiments.

    Obtained an accuracy of 93.32% for a model consisting of 1000 sample tweets using Word2Vec embedding vectors as features to the model.

  • Detection of Chandas in Sanskrit

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    Compiler Design Lab Project

    Developed Python scripts to detect Chandas, a grammatical tool used in Sanskrit poems.

    Obtained Unicode equivalent of Sanskrit letters and implemented a Context-free grammar to detect Chandas patterns.

Honors & Awards

  • 3rd place in Amazon Alexa Voice Prize Competition

    USC Viterbi School of Engineering

  • Campus Ambassador

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    As a GE campus ambassador for PES University, organized tech talks and continuously engaged students to participate in GE events.

Languages

  • English

    Full professional proficiency

  • Kannada

    Native or bilingual proficiency

  • Telugu

    Native or bilingual proficiency

  • Hindi

    Limited working proficiency

  • Sanskrit

    Elementary proficiency

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