Sarvesh Ajit Ranade
B.Tech and M.S. by research
Computer Science and Engineering
International Institute of Information and Technology
Hyderabad.
Email: [email protected]
Contact: +91 90521 37677
OBJECTIVE
To enhance my skills and expertise in software development industry.
EDUCATIONAL ACHIEVEMENTS
B.Tech CSE and MS by research (end of 6th semester)
Higher Secondary School Examination
Secondary School Examination
All India rank in IIT-JEE 2008
All India Rank in AIEEE 2008
8.35/10
88.33%
90.91%
4469
2483 (State Rank 161)
KEY PROJECTS
Discourse Parsing
Guide : Prof. Rajeev Sangal
Ongoing
 Verbal Response modes(VRM) is domain independent conversation tagging scheme introduced for therapist-patient
scenario which includes modes like Question, Advisement, Interpretation, etc..
 Based on intra-sentential features like Subject & object of the sentence, Word features, context and syntactic
structure, I will be predicting verbal response modes for each sentence using machine learning approaches.
Dialogue Act Tags Detection
Guide: Rajeev Sangal
Monsoon 2010
 English sentences in a text are being annotated with DAMSL dialogue act tags for understanding of discourse.
 I used bigram approximation, machine learning approach with linguistic features (previous sentence, verb semantics)
for prediction of DAMSL tags.
 I achieved 82% prediction accuracy with respect to gold data.
Question Answering in AURA system
Guide: Prashanth Mannem
Spring 2010
 Automated User-centered reasoning and acquisition (AURA) system is a project IIIT Hyderabad is collaboratively
doing with Stanford Research Institute for question answering on biology domain.
 In natural language generation, I implemented “How many type” question type and its answer generation as a part of
research assistant work.
 I did poster presentation on my work on Question Answering at R&D Showcase, IIIT-H 2011.
IMPORTANT ACADEMIC PROJECTS
Concept Graph Formation from Biology Textbook
Guide: Prashanth Mannem
Spring 2010
 Concept graph is hierarchical structure between concepts in the text used for semantic representation of whole text.
 I designed a novel approach of creating concept graph from biology textbook by extracting concept-relation triplets
using Stanford Dependency Parser, Semantic Role labeller and Wordnet.
Automatic Question Generation
Guide: Rajeev Sangal
Summer 2010
 Objective was to automatically generate simple and complex questions from English Paragraph.
 I used Stanford Dependency Parser and Semantic Role Labeller together to find question type and target sentence and
generate questions out of specific question templates.
Implemented UDP based Proxy Server implementation
Guide: Brudhweshwar Bejawada
Spring 2010
 The project aimed at building a UDP based web proxy server that serves out HTTP requests of clients. Proxy server
maintains a local copy of the HTTP object, its URL and last-modified date sent by web server for the purpose of web
caching. UDP packet loss was handled using network timeout.
Automatic Resume Builder
Guide: Kirti Garg
 Building resume based on customer’s profession, achievements in web2py framework.
Spring 2009
3D environment in graphics with lightening and shading effects
Guide: P.J.Narayanan
Monsoon 2009
 In OpenGL framework, adding lightening and shading effects considering objects shape, size and light source.
English-Hindi Machine Translation System for Travellers
Guide: V.Sriram
Monsoon 2010
 English-Hindi translation can help foreign travellers visiting Hyderabad to communicate with local people.
 I implemented statistical MT system using linguistic tools GIZA++, Moses and SRILM training them on self-created
English-Hindi parallel corpus.
Building Syntactic and semantic verb frames in Hindi
Guide: Soma Paul
Monsoon 2010
 In Hindi, there are polysemous verbs like “khana”(eat) which have multiple verb frames (argument structure).
 Based on dependency relations between main verb and its argument (subject, object) I came up with approach to form
all possible different semantic and syntactic verb frames for a polysmous verb.
POSITIONS AND RESPONSIBILITIES
 Working as Research Assistant in “Indian Languages Machine Translation” project funded by TDIL Program,
Department of Information Technology, Govt. of India. (Ongoing)
 I am teaching assistant for “Intro to Databases” in which I have mentored 150 students. (Ongoing)
 Worked on Treebank development tool “Sanchay” as part of research assistant work. (monsoon 2010)
SKILL SET
Programming Languages
Scripting Languages
Linguistic Tools
Programming Environment
Web Tools
C,C++,Java
Python, Bash, LISP
Stanford Parser, wordnet, SRILM and MST Parsers
Vim, Netbeans, Eclipse
HTML, PHP, CSS, Web2py, Javascript(Basic)
AREAS OF INTEREST
 Discourse Parsing and analysis of English Texts
 Machine Translation across Indian Languages
 Natural Language Generation
MISCELLANEOUS
 I have organized multiplayer gaming event NFS-MW at Felicity, annual festival of IIIT Hyderabad, in which over
200 gamers participated.
 I have organized stock market game “Equity Pulse” which had over 600 participants. It involved coding based on
PHP framework.
 I like to play table tennis, carom and cricket.
REFERENCES
 Dr. Rajeev Sangal (Director IIIT Hyderabad) http://www.iiit.ac.in/~sangal/