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Saad Arshad

Machine Learning / Natural Language Processing Engineer

About Me

Currently, I am working as a ML/NLP Engineer at Incline Artificial Intelligence. I graduated from FAST NUCES in 2019 with a degree of Bachelors in Computer Science. With the growing trend towards Artificial Intelligence and automation, I developed interest in the field of AI and Machine Learning.

I have experience in Data Mining and Machine Learning. I have worked on tasks like text classification (Intent Classification, Hate Speech Detection, Sentiment Analysis, and Fake News Detection), question answering, chat-bots, text to speech and speech to text. I have good programming skills in Python, NLTK, Keras, Scikit-Learn, Numpy, and Pandas.

I have proficiency in developing solutions for time series analysis and Forcasting.

Experience

Incline Artificial Intelligence

ML/NLP Engineer

  • Designed and developed domain specific chat-bot with question answering
  • Developed a Text to Speech end to end model
  • Worked on Speech to Text
  • Handled the development and deployment of backend-API on AWS
  • Developed a model to predict leaves for every employee based on individual behaviour

    • Education

    National University of Computer and Emerging Sciences FAST

    2015 - 2019

    BS in Computer Science

    Studies focused on Artificial Intelligence, Natural Language Processing, and Data Mining.
    CGPA: 3.59

    OPF Boys College

    2013 - 2015

    Intermediate in Computer Science

    Studies focused on Computer Science, Mathematics, and Physics
    Grade: A

    Projects

    Hate Speech Detection

    Text classification for Hate Speech Detection on Twitter by using the latest deep learning techniques likes Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) Network.

    View on Github

    Chatbot

    A chatbot developed using seq2seq encoder-decoder



    View on Github

    Fake-News-Detection-USE

    Fake news detection using Google's Universal Sentence Encoder and a simple neural network


    View on Github

    Fake-News-Detection

    Fake News Detection using fastText supervised learning



    View on Github

    Sentiment-Analysis-USE

    Sentiment Analysis using Google's Universal Sentence Encoder



    View on Github

    Sentiment-Analysis-RNN-LSTM

    Sentiment Analysis using Recurrent Neural Networks (RNN-LSTM) and Google News Word2Vec


    View on Github

    Sentiment-Analysis-CNN

    Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec


    View on Github

    Skills

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