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Project 19146725 has been deleted
“Recommended, good communication and good work”Kalci 1 month ago
chnage the look of an algorithm
“he did a great job with python for less money , i would recommand him”Bouba M. 10 months ago
Python script for executing cli commands
“Excellent job :) professional and got good patience with changes in requirements. Would definetly rehire :)”Sri R. 10 months ago
Project for Chris A.
“Some suggestions on an NLP task given. Communication clear & professional.”Sviataslau S. 1 year ago
Project 15740520 has been deleted
“I recommend working with him. He is professional and reliable.”Alice W. 1 year ago
image processing in python
“Very helpful”Arushi W. 1 year ago
Org Admin for Google Summer of CodeJan 2019
Responsible for the day to day workings of the organisation and our participation in the Google Summer of Code.
Mentor for Google Summer of CodeApr 2018
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Google Summer of Code InternApr 2017 - Aug 2017 (4 months)
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Bachelor in Technology (Honours)2014 - 2018 (4 years)
Higher Secondary Schooling2012 - 2014 (2 years)
Masters of Computer Science(Research)2018 - 2019 (1 year)
Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages
We develop a state-of-art model for identifying sentiment in Hindi-English code-mixed language. We introduce new phonemic sub-word units for Hindi-English code-mixed text along with a hierarchical deep learning model which uses these sub-word units for predicting sentiment. The results indicate that the model yields a significant increase in accuracy as compared to other models.
Text Independent Writer Identification for Telugu Script using Directional Filter based Features
A new dataset of Telugu handwritten documents of 150 writers called the IIITS-THDB is created under this work for doing the experimental analysis and this dataset is made available publicly. Descriptive convolution based features are extracted from given handwritten text using directional filters. Feature reduction is performed to find the optimal linear subspace for the extracted features and identification is done using these reduced features.
Writer Identification in Indic Scripts: A Stroke Distribution Based Approach
A data driven approach for stroke alphabet creation is done as follows: strokes are extracted from the image, using a regression based method, extracted strokes are represented as fixed length vectors in a vector space, strokes are clustered in to stroke categories to create a stroke alphabet. An optimal number of clusters (categories) are automatically identified and a histogram is created that represents the writer's writing style.
US English Level 190%
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