Technical skills

Technical skills

• Skills

  • Natural Language Processing, Computational processing in Indian languages, Machine learning, Deep learning, Machine Learning, Transformer networks, Probabilistic Graphical Model, Kernel methods, Explicit random feature mapping algorithms, Compressive sensing, Computer networking, Data Structures and Algorithms

• Programming languages

  • Python, Matlab, C, Octave, Julia, Weka, and Java

• Deep Learning / Machine Learning tools and frameworks

  • Tensorflow, PyTorch, Keras, Huggingface, Tensorflow-lite, NLTK, Scikit-learn, Pandas, Gurls, LibSVM, Deep learning toolbox - Matlab, Matlab NLP-Master, CVX, CVXPY, OpenNMT, PyDMD, Spacy, PySpark, TextBlob, Stanford CoreNLP, Gensim, spaCy, polyglot, AllenNLP, Flair

• Networking tools

  • Wireshark, NS3, GNS3

• Operating system

  • Linux and Windows

• Documentation tools

  • LaTex, Microsoft office, LibreOffice