Krishnav Rajbangshi Machine Learning and AI
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I am an experienced individual with a strong background in Machine Learning, Deep Learning, and AI. Currently serving as an AI research intern at the Artificial Intelligence Institute, University of South Carolina, I specialize in developing novel language models. With extensive experience in training models in an unsupervised manner and proposing innovative approaches to language modeling, I am well-equipped to contribute to your service. Furthermore, my work as a research intern at the Machine Intelligence and Bio-Motion Research Lab has allowed me to delve into computer vision algorithms and develop high-performing models for gesture recognition. Proficient in Python and skilled in frameworks like PyTorch and TensorFlow, I am committed to leveraging my expertise to drive research and innovation in the field.

Subjects

  • Machine Learning Intermediate-Expert

  • Deep Learning Projects in Python Intermediate-Expert

  • AI & ML (Artificial intelligence & Machine Learning) Intermediate-Expert

Experience

  • Research Intern (Jun, 2023–Present) at Carnegie Mellon University USA
  • Research Intern (Sep, 2022–Present) at Artificial Intelligence Institute at University of South Carolina
    -> Working under Prof. (Dr.) Amitava Das, Faculty AIISC@UoSC, Advisory Scientist Wipro AI.
    -> Developed a novel language model which enhances traditional distributional models by incorporating more linguistic information to the model to understand the syntactic structures of language.
    -> Proposed a novel approach to language modeling, taking into account syntactic information, which has the potential to enhance the performance of language models.
    -> Successfully trained the model in an unsupervised manner, demonstrating a strong understanding of popular language model training techniques and their application to NLP.
    -> Contributed to the advancement of natural language processing by exploring new approaches to language modeling that capture more comprehensive linguistic information than traditional models.
  • Research Intern (May, 2022–Aug, 2022) at NIT Rourkela, Rourkela
    -> Worked at Machine Intelligence and Bio-Motion Research Lab under Dr. Anup Nandy, Assistant Professor, Computer Science and Engineering, NIT-R.
    -> Explored 3D Human Gesture Data captured by kinect, extracted features and developed a good performing model for Human Gesture Recognition.

Education

  • BTech (Oct, 2020–now) from NIT Silchar, Assam

Fee details

    ₹500–2,000/hour (US$5.90–23.58/hour)

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