ABOUT ME

I completed Master of Science in Computer Science from the University of Memphis, Tennessee, USA. During my graduate studies, I have worked as a Graduate Research Assistant in mHealth and Fin-Tech lab at the university. I have also worked in the United Nations as Research Volunteer focused on Machine Learning and Data Analysis.

My academic focus, research interest, and work experience is in the area of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Big Data Analytics.

My Masters' Degree project was "Intelligent Chatbot using Deep Neural Network" - a generative open domain chatbot for Human vs. AI interaction built with then state of the art techniques - Sequence to Sequence (Seq2Seq) model using "Cornell Movie Subtitle Dataset" and optimized with Bidirectional LSTM and Neural Attention Mechanism.

While working in research labs, I have developed distributed machine learning core for bio-marker (psychological stress) detection from wearable sensor data with cluster computing framework Apache Spark. I have also developed distributed big data application for large-scale historical stock market data processing and analysis with Apache Spark. Additionally, I have conducted research on machine learning based physical activity detection methods with wearable sensor data.

In United Nations Economic research project, I worked in application of Machine Learning and Data Analysis.

My AI/ML/NLP/CV projects include "Cancer Detection from Microscopic Tissue Images with Deep Convolutional Neural Network specifically NashNet", "Detection of Pneumonia from Chest X-Ray Images using Deep Learning", "Covid-19 Pandemic Analysis and Predictive Modeling", "Web Retrieval / Search Engine based on Vector Space Model for University Web Domain", "Movie Profit & Rating Prediction System", "Regression Modeling for Housing Price Prediction", and "Movie Recommendation Engine with Collaborative Filtering".

I am active in GitHub and Kaggle community and continue working on new and exciting AI/Machine Learning/NLP/Computer Vision projects and competitions. Please check out my GitHub, Kaggle profile for new exciting projects.

I am also actively mentoring multiple Machine Learning, and Data Science enthusiasts on and offline. If you are interested to learn more about my projects, need help with your own projects, or want to learn about machine learning, data science, big data analytics, including natural language processing or computer vision, feel free to contact me. I would be happy to help.