Prakash Kumar Singh, Ph.D.

Prakash Kumar Singh, Ph.D.

Assistant Professor-IT/CSE

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  • Timeline

  • About me

    LLM, Lang Chain, Llama Index, WatsonX, Generative AI, Deep Learning, Machine Learning, NLP, Hybrid Cloud

  • Education

    • Birla Institute of Technology, Mesra, Ranchi

      2014 - 2021
      Ph.D. Machine Learning, Natural Language Processing, Deep Learning

      Completed Ph.D. (Machine Learning/NLP) in Dec 2021. Mainly worked on Text data to analyze human sentiment expressed in written text using NLP, state-of-the-art ML algorithms, and Deep Neural Networks.

    • School of Information Technology,Rajiv Gandhi Proudyogiki Vishvidyalaya, Bhopal

      2004 - 2006
      M.Tech. Information Technology 1st Division

      Worked on classifying the fraud transaction activities made over stolen credit cards based on the pattern of the real Credit/Debit holder.

    • UP Technical University, Lucknow

      2000 - 2004
      B.Tech. Information Technology 1st Division

      Project work- Worked on the Implementation of Advanced Encryption Standard in C++

  • Experience

    • Indraprasth University, New Delhi

      Aug 2007 - Mar 2014
      Assistant Professor-IT/CSE
    • Galgotias University

      Apr 2014 - Jan 2015
      Assistant Professor
    • R Systems

      Jan 2015 - Sept 2015
      Senior Software Engineer-Machine Learning/NLP

      Worked on Predictive Modeling and Statistical Modeling on historical data to identify the KPI, maximizing ROI and getting actionable insight by applying Machine Learning Algorithms.Worked on Telecom Project, Churn Prediction using Sklearn-Linear RegressionSuccessfully implemented Linear Regression, Logistic Regression, Decision Tree, Random Forest Classifier, Support Vector Machine, Matplotlib in various internal and client projectWorked in Hadoop environment in Python,Hive, MongoDB, Map Reduce, and Visualization tools like Tableau. Show less

    • UST

      Jan 2016 - Apr 2016
      Research Lead-NLP

      Worked on a Sentiment Analysis tool, Xpresso that is capable of doing all sorts of NLP related task to perform automatic Sentiment Analysis, Document Classification, Clustering. My job profile included applying various NLP techniques and Machine Learning Algorithms for Sentence Spliting, Word Tokenization, Name Entity Recognition for analyzing Sentiments of user's reviews and ensuring the good accuracy of the model while classifying those reviews.

    • IBM

      May 2016 - now
      Data Scientist- Cognitive Computing

      Presently working on Generative Models/ LLM/ WatsonX AI and Data platform.As a Data Scientist, my day-to-day activities include developing Artificial Intelligence/NLP/Machine Learning algorithms using following technologies: Deep Learning frameworks (Pytorch, TensorFlow, Keras), RNN,LSTM,BERT, GRU models. Linear Regression, Logistic Regression, Random Forest, Decision Tree etc. PySpark, Python, Azure, GCP, Databrics, Kubernetes, Docker etc. NLP tools like, NLTK, Word2Vec, TF-IDF, Unigram, Ngram etc. Hadoop, Yarn,Hive, Oozie and other components. Show less

  • Licenses & Certifications