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 specialization: Distributional Semantics, Machine Learning (Neural Networks and Regression based modelling), Knowledge extraction from unsupervised corpus-based representations and structured information sources, Question-answering systems.
Additional research interests: Supervised and semi-supervised machine learning techniques, NLP, Semantic knowledge representation, Data/Text mining and developing end-to-end deep-learning NLP applications.
Skill-set
Machine Learning & Analytics
- Framework: Theano
- Tools: Keras, SciKit-Learn
- Visualization Tools: 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.
Miscellaneous
- 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)
Meta-skills
- 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