About me



  • Machine Learning, Natural Language Processing, Knowledge representation, Deep Learning, Computer Vision, Clinical NLP.


  • Natural Language (NL), Biomedical (BMI), Cybersecurity (SEC), Numerical (NUM)


  • Open-Book Question Answering - Multi-step Reasoning (NL), Information Retrieval (NL), Commonsense Reasoning (NL), Reasoning about
  • Information Extraction - Named-Entity Recognition (BMI), Structure Generation from unstructured Texts (SEC), Decompiled Code Analysis (SEC)
  • Reasoning - Multi-hop (NL), Commonsense (NL), Effects of actions (NL), Numeracy (NUM)
  • Semantic Textual Similarity
  • Object Recognition

Skills & Coursework

  • Coursework
    • Natural Language Processing, Bio-Medical NLP, Data Mining, Knowledge Representation and Reasoning
    • Statistical Machine Learning, Pattern recognition
    • Software Security, Mobile Computing, Theory of Computation
  • Programming Languages & DB : C, C++, Core Java, Python, PL/SQL, MySQL
  • NLP/ML Tools, Libraries : OpenCV, Scikit-Learn, Pytorch, AllenNLP, Spacy, Pandas, Pytorch-Lightning
  • Version Control Tools : Git
  • Bug Trackers : Bugzilla, JIRA
  • Misc : Elasticsearch, docker

Other Things I like to do

  • Making Sketches, Playing TT (Ping Pong), Playing Cricket, Running, Long Walks, Swimming, Cooking food I love to eat.

Recent Activities

  • [Aug 7, 2019] Participated in National NLP Clinical Challenges Track 1 Shared Task : Clinical Semantic Textual Similarity
  • [Oct 30, 2018] Volunteered in Knowledge Representation(KR2018) conference at Phoenix