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v_vuppuluri

Vasanthi V

@v_vuppuluri

Sr Machine Learning Engineer

Inde
Anglais, Hindi, Telugu
Certaines informations sont présentées en anglais.
À propos de moi
I am an experienced Machine Learning Engineer and NLP Scientist specializing in building and deploying LLMs and NLU solutions. My expertise includes document classification, concept tagging, and developing unsupervised approaches for text parsing. I have a strong research background with multiple publications and a patent in beamforming optimization.... Plus d’infos

Compétences

v
v_vuppuluri
Vasanthi V
hors ligne • 

Voir mes services

Traitement automatique du langage naturel (NLP)
I will extract entities and classify text using ai and nlp models
De100 $US / projetPlus de détails

Expérience professionnelle

Verizon

NLP Scientist

Verizon • Temps plein

Mar 2016 - Jan 2018 • 1 yr 10 mos

Designed and developed NLU solutions for improving the TV watching experience. Working with the voice technologies team to design and developing the best in class NLU solutions for user media requests for improving the TV watching experience Collecting and analyzing the data on user media requests to improve the NLU system performance Help generate and tune large vocabulary statistical language models optimized for the media search experience Assisting with web-service development related to the voice service Technologies: ScalaNLP, NLTK, OpenNLP, Stanford CoreNLP, Java, Python, Scala, named entity recognition, word-sense disambiguation, language modeling, parsing, syntax trees, dependency graphs

University_of Houston

Research Assistant

University of Houston • Temps partiel

Sep 2012 - May 2015 • 2 yrs 8 mos

Developed domain independent text parser to identify collocations, multi-word expressions and idioms from English documents. Additionally designed and maintained university websites and databases. As a Research Assistant at University of Houston, I designed and developed an unsupervised and domain independent NLP technique that can extract n-grams, collocation, multi-word expressions and idioms from English text documents and was also the web-server administrator for the ReMIND lab in Computer Science department. Detailed job duties are as follows: Natural Language Processing: Parsing English text documents to identify collocations, multi-word expressions and idioms by coming up with un-supervised, domain independent techniques 
 Worked with parts-of-speech taggers 
(Stanford POS tagger, Tweet NLP, Turbo Parser, NLTK POS tagger) 
 Worked with Named Entity Recognition software 
(Stanford NER software, ABNER, Annie, LingPipe) 
 Implemented Google search API, Bing search API, online dictionary APIs 
(Glosbe, WordNik, Aonaware) 
 Working with Statistical Association Measures and Shell scripting 
 Web-Server and SVN-server Administration: Developed and actively maintained http://capex.cs.uh.edu/ and http://spsl.cs.uh.edu/ 
 Worked on http://sfs.cs.uh.edu/ and http://ciare.cs.uh.edu/ 
 Setting up and maintaining Apache subversion server 
 Building NIS clusters 
 Technologies: Python, R, Perl, Shell Script, HTML, CSS, Drupal, PHP, MySQL, NLTK, WordNet, Stanford NLP