I'm a doctoral candidate in the research group headed by Prof. Dr. Sebastian Padó at Institut für Maschinelle Sprachverarbeitung (IMS), Universität Stuttgart. My thesis co-advisor is Dr. Gemma Boleda at Universitat Pompeu Fabra (Barcelona, Spain).

My current research interests fall in the area of Computational Linguistics and my work primarily revolves around Distributional Semantics, Machine Learning and Knowledge Bases.

I am interested in the analysis of the information and semantics captured by distributed representations and how the results of this analysis can be applied to: 1) address linguistic phenomenon in formal semantics, and 2) real-world NLP tasks.

I finished my MS by Research under the guidance of Prof. Rajeev Sangal at IIIT-Hyderabad, India. During my masters, my primary area of interest was Dialogue Systems. I specialized in developing Natural Language Interfaces to Databases (NLIDB systems), which is a sub-domain of Dialogue Systems.

In my free time I'm either travelling or binge-watching sitcoms ( like most PhD students 😛 ) and I'm a total sucker for sci-fi classics, because lets face it - it's all comes true eventually! 😉

Areas of specializationMachine Learning -- Deep Neural Networks, Sequential models (RNNs, LSTMs, Convolutional Networks) and Regression based modelling, Data Analytics and Statistical data inferencing, Knowledge extraction from structured / unstructured information sources, Distributional Semantics, Computational Linguistics, Natural Language Processing, Question-answering systems.

Additional research interestsSupervised and semi-supervised machine learning techniques, Semantic knowledge representation,  (Semi)-Structured knowledge completion, Entity linking and grounding, Data/Text mining and developing end-to-end deep-learning NLP applications.


Machine Learning & Analytics

  • Framework: Theano, Tensorflow, Keras
  • Tools: SciKit-Learn, Numpy
  • Visualization Tools: Pandas, Matplotlib
  • Statistical Tools: R
    Experienced in building Neural Networks and Regression based ML models from scratch in Theano and optimization of models on GPUs.

Scripting & Programming

  • Scripting: Python
  • Programming: C, C++
  • Web Technologies: PHP, HTML, XML, CSS, JQuery, Javascript, AJAX
    During my PhD I have designed a highly modular, easy-to-deploy and research-oriented code- base in Python, based on MVC software architectural pattern.


  • Knowledge Bases: Freebase
  • Databases: Vrituoso, MySQL, MS Access
  • Query Languages: SPARQL (rdf), MySQL (relational)
  • OS familiarity: Linux, Windows, MacOS
  • Languages: English (fluent), Hindi (native), German (A1.1 - basic)


  • Strong presentation and communication skills
  • Happy disposition in deadline based scenarios
  • High tolerance, patience and quick adaptability in unfamiliar environment and adverse situations
  • Eagerness to learn, attention to detail and methodological execution of tasks at hand

What’ve I been upto?

2019, July: Paper accepted @ RANLP, 2019
2018, Sep: ArXiv pre-print of the concluding research work on Instantiation
2018, June: Attended the 8th Lisbon Machine Learning School @ Lissabon, Portugal.
2018, May: Invited for a research talk on “Entities in Distributional Semantics” at the StatNLP group lead by Prof. Stefan Riezler in Heidelberg, Germany.
2017, Aug: Attended ACL 2017 and Poster presentation @ *SEM 2017. Vancouver, Canada.
2017, May: Paper accepted @ *SEM 2017.
2017, Mar: Reviewer for IJCAI 2017.
2017, Feb: Attended workshop on “How to become a Post-Doc”.
2017, Feb: Paper accepted for oral presentation @ EACL 2017.
2017, Jan: Reviewer for ACL 2017.
2016, Oct: Tutoring for Intro. to Statistical Machine Translation.
2016, Sep: Attended workshop on “Cultural Diversity in Teaching and Learning”.
2016, Jun: Presented PhD work @ IMS retreat at Kleinwalsertal, Austria.
2016: Jan: Reviewer for ACL 2016.
2015, Dec: on vacation!
2015, Oct: Attended workshop on “Academic Writing and Publishing Research Articles in Humanities and Social Sciences”.
2015, Oct: Tutoring for Intro. to Statistical Machine Translation.
2015, Oct: Officially enrolled as a Doctoral Candidate! 😉
2015, Sep: Oral presentation in EMNLP 2015, Lissabon.
2015, Aug: Attended ESSLLI 2015, Barcelona.
2015, Jul: Paper accepted for oral presentation @ EMNLP 2015.
2015, Jun: Presented PhD work @ IMS retreat at Kleinwalsertal, Austria.
2015, Apr: Article accepted in 3rd International ESSENCE workshop. Barcelona.
2015, Mar: Paper accepted for poster presentation @ *SEM 2015.
2015, Feb: Attended workshop on “Interaction between formal and distributional semantics”, Toulouse, France.
2014, Apr: Tutoring for Intro. to Statistical Machine Translation.
2014, April: MS Thesis presentation @ IMS retreat at Kleinwalsertal, Austria.
2014, Mar: Joined IMS, University of Stuttgart.
2014, Mar: MS thesis defense @ IIIT-Hyderabad.
2013, Dec: Paper accepted for oral presentation @ ICON 2013.
2013, Oct: MS thesis submitted.
2012, Nov: Oral presentation @ IALP 2012, Hanoi, Vietnam.
2012, Sep: Paper accepted @ IALP 2012.
2012, Jun: Project mentor for 4th Advanced NLP Summer School (IASNLP), IIIT-Hyderabad.